White Collar Factory (95009), United Kingdom, London, LondonLead Data Scientist / Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights.  We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights.What you’ll doLead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that  our core lending capabilities  remain at the forefront of the industry.Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features.Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production.Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models).A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team.Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll workThis is a permanent position based in our Nottingham or London office.  We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday.Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.What’s in it for youBring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformationWe offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leaveOpen-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.What you should know about how we recruitWe pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and alliesOutFront – to provide LGBTQ+ support for all associatesMind Your Mind – signposting support and promoting positive mental wellbeing for allWomen in Tech – promoting an inclusive environment in techEmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industryCapital One is committed to diversity in the workplace.If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com  All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data-driven decision-making culture and support business growth by advancing our capabilities in analytics and AI.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

You will tackle complex challenges using advanced analytics and agentic AI.

Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance.

Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes.

What you offer

• 4+ years’ experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes
• Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands-on experience building and deploying agentic AI workflows
• Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous
• Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders
• Able to thrive within a collaborative, multi-disciplinary, cross-functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions

We love hearing from anyone inspired to build a better future with us, if you’re excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
• 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
• Paid fertility leave for those undergoing or supporting fertility treatment
• 2 days of paid volunteer leave and donation matching
• Access to a wide range of salary sacrificing options
• Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover
• Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Access to company funded emergency and backup dependent care services
• Recognition and service awards
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About Macquarie Asset Management

Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns.

All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025.

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.
Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

The Data Analyst will be a key member of the Enterprise Finance Reporting and Insights Center of Excellence team. This role is responsible for providing excellent products and services in the form of reports, insights, and cross-collaboration across the Global Finance organization with an emphasis on Global Gaming, to build sustainable automated reports, dashboards, and visualizations used by the Finance Teams to highlight data trends, anomalies, and reduce manual tasks. We are seeking a multifaceted and self-motivated individual who is a phenomenal teammate, very well-organized, and enjoys serving many internal collaborators in a fast-paced environment.

What You’ll Do

It is both strategic and operational, where the key outcomes are to:

• Review and provide consolidated metrics and targets on a timely basis during month-end and forecast cycles.
• Develop enhanced reporting, including self-service reporting for collaborators, such as dashboards, visuals, or new reporting styles
• Build strong relationships across business unit finance teams to facilitate open and timely communication
• Ability to adopt ambiguity and break down complex problems to provide clear and effective recommendations
• Applied sophisticated presentation and visualization software to effectively communicate analysis/results to key collaborators
• Partner with the broader Finance organization to build robust analytical models, tools, and processes, and provide superior service to business partners/internal clients
• Cross collaborates with the team, learning other parts of the business (D&D, Interactive, Group) to assist when needed.
• The outlook of the role is primarily internal. Work collaboratively with the Global Gaming finance teams, D&D finance segment leads, Interactive finance team, global accounting teams, and corporate Group Finance.

What We’re Looking For

• Bachelor’s degree or equivalent experience in Finance, Accounting, or related field
• Experience as a Data Analyst or Financial Analyst
• Advanced skills in Excel, including modeling and complex formulas
• Experienced in Power BI, including DAX formulas
• Strong experience in SQL (or similar BI Tool)
• Skills in Python would be highly desirable
• Strong analytical and complex Financial Modeling skills, with experience working with complex financial data to produce analysis, including trend, forecast, and critical metric analysis, generating insights to improve efficiency, quality, and performance
• Confidence to work on complex projects and drive them to a solution
• History of enhancing operations: Consistently seeking ways to improve, including recognizing automation possibilities
• Ability to see the big picture, but able to dive into the details when required
• Collect, clean, and organize financial and transactional data from various sources, including databases, spreadsheets, and software systems.
• Must possess a high level of personal and professional development and accountability
• Established proficiency in overseeing several priorities, including meeting changing demands and adjusting to frequently changing priorities
• Strong collaborator engagement and communication skills with the ability to build and maintain strong relationships across the business

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V

• World Leader in Gaming Entertainment
• Robust benefits package
• Global career opportunities

Our Values

• All about the Player
• Talent Unleashed
• Collective Brilliance
• Good Business Good Citizen

Travel Expectations
None

Additional Information

This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities.

Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat’s gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment.

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.

Senior Data Scientist

As a Senior Data Scientist, you will own the development and implementation of Marketing Mix Modelling (MMM) across ATG markets. You will lead on applying these insights to inform decision making and deliver measurable commercial value. You will play a key role in shaping the activation of data-led marketing in the UK.

This role will support the UK CRM team in scaling personalisation and automation, influencing how these strategies are tested and adopted, and collaborating closely with the global marketing science team to create a globally consistent approach that can be effectively applied in the UK.

This is a hybrid role based in London (Shaftesbury Avenue), with an expectation of 2 days per week in the office. You’ll report to the Analytics Manager within our Marketing Analytics & Data Science team and be responsible for managing and developing a Data Scientist. You’ll work closely with CRM, Memberships, Ticketing and Regional Marketing.

Key responsibilities

• Own MMM in the UK and US. Manage key stakeholders, gather requirements for future iterations, plan & agree timelines for updates and iterative improvements.
• Manage the relationship between Data Science and CRM, providing direction on the way data is used in campaign execution to have maximum benefit.
• Collect and integrate data from a diverse range of sources, ensuring quality and accuracy prior to use in model creation.
• Develop data science solutions to business and customer problems, using robust experimentation and A/B testing to measure incremental impact and demonstrate value against key financial KPIs
• Work with data analysts to set out measurement plans to quantify the impact of data science solutions.
• Effectively communicate with technical and non-technical audiences using dashboards, data visualisations and storytelling to aid understanding and ensure models are understood, trusted, and effectively integrated into decision making processes.
• Line manage and develop a Data Scientist, providing support and guidance to ensure their continued development.
• Set an example for other data professionals in embracing collaboration, sharing knowledge, and fostering a culture of curiosity and continuous development.

Your skills, qualities, and experience

We welcome transferable skills from other industries. If you can demonstrate many of the essential skills, qualities and experience we encourage you to apply.

Essential

• A proven track record in a data science role within a customer, CRM, commercial or marketing role.
• Expertise in machine learning and version control management, with a track record of creating impactful data science products and embedding these within businesses.
• Strong SQL & Python.
• Knowledge of cloud platforms and ML Ops for automation of retraining and prediction.
• Experience in implementing experimentation frameworks (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices, causal inference).
• Exemplary stakeholder management.
• Confident & effective communication with technical and non-technical stakeholders across all levels of the company hierarchy.
• Project organisation and planning (application of the Data Science project lifecycle).
• Commercial mindset to link models back to business goals.
• An innate curiosity for technology and data.

Desirable

• Experience in applying Bayesian modelling techniques.
• Familiarity with our existing tech stack (Snowflake, GitHub, Iterable, dbt).
• Data visualisation using BI tools (preferably Power BI).

About Us - Our Values

ATG Entertainment’s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation.

• THRIVE doing what we love (with passion and dynamism)
• CONNECT through every act (with collaboration and kindness)
• DARE to do different (with curiosity and courage)
• PERFORM at our best (with customer focus and ownership)

Our Corporate Social Responsibility pillars

Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities:

• Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being.
• Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working.
• Next Generations: Encouraging the next generation in live entertainment by contributing to our outreach and training programmes, including mentoring students and trainees, and supporting our Creative Learning and Community Partnerships work.

Our culture

You’ll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures.

We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises.

Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone

Our stages are a platform for compelling stories - stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone.

We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce.

We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible.

Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

Role summary:

As an individual contributor Principal Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.

We are looking for a applied data scientist with the proven ability to manage project timelines and deliver high-quality AI products that align with business goals.

The successful candidate will combine strong technical thought leadership with a collaborative approach to ensure team success.

What you’ll be doing:

This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.

• Lead end to end technical development process including; Design, develop and deploy production-level AI models and data-driven solutions that aligns with strategic business objectives.
• Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
• Research and evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
• Establish and apply model evaluation and coding standards to maintain production grade code.
• Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.

What you’ll bring:

Essential Skills

• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
• Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
• Proven track record of setting model quality and coding best practices to ensure high-quality products.
• Excellent communication and negotiating skills for conveying complex technical concepts and project considerations to both technical and non-technical partners.

Desirable skills

• Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

Education

Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return:

• High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
• Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
• Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
• Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Team

At Man Group, our ambitions for AI are significant. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards leveraging scalable intelligence to fundamentally change how we identify and execute on investment opportunities.

We are looking for a high-performing Python Engineer to build solutions that make use of the latest GenAI and Machine Learning techniques and capabilities. This role is at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that touch every part of our business.

Working in our AI team, you will build out the core AI platform and infrastructure used across Man Group. You will also partner and consult with teams across the business to create agents and tools that augment, automate and transform our investment and operational workflows.

Role Responsibilities

• Design, build, and maintain the firm’s core AI and Machine Learning platform
• Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents
• Actively monitor the latest developments in applied AI to identify, propose, and implement novel AI-powered solutions
• Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities

Key Competencies

Essential

• Advanced proficiency in Python, with extensive professional experience in building production applications and services
• Proven experience working in a formal Python development environment alongside other developers, following software development best practices
• Demonstrable enthusiasm for AI engineering and Machine Learning
• Strong academic record to include a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Strong interpersonal skills with the ability to establish and maintain a close working relationship with traders, quantitative researchers, and other stakeholders

Advantageous

• Familiarity with front-end frameworks/languages e.g. TypeScript, React, Next.js
• Experience integrating with databases such as PostgreSQL and Redis
• Experience using GenAI to build agentic, knowledge processing, or automated coding tools
• Experience training or fine-tuning generative models
• Experience building tools and technologies within systematic or discretionary investing units
• Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts
• Experience with our tooling stack: Linux/UNIX, Git, Jira, Slack

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Role Title: Equity Derivatives Quant Developer Duration: 6 month contract Location: London, Hybrid Rate: up to £950 p/d Umbrellainside IR35 Role purpose / summary 1. 3-7 years working as a Quantitative Developer and collaborating with quant modelers, IT development, other risk departments 2. A degree in mathematical finance, science or maths from a top tier university 3. Knowledge of the standard pricing models used in the investment banking industry 4. Five or more years Python experience required 5. Knowledge of distributed computing and serialisation techniques 6. Test-drive development and automated CI/CD pipelines 7. Knowledge of C++ or RUST Desirable Knowledge, Skills & Experience 1. Knowledge of instrument pricing, sensitivity calculations, VaR, ES and other risk measures. 2. Knowledge of the main instruments used in Equities and Equity Derivatives 3. Good knowledge of Excel 4. Experience of data analysis 5. Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Role: Data ScientistType: Contracts (6 Months)Location: London, UK (REMOTE)Working Model: Fully Remote

Payrate: 412 - 512 GBP/day on PAYE487 - 587 GBP/day on RUPAYE599 - 699 GBP/day on Inside IR35 on Umbrella

The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption.

What You Will Do:

• Own end-to-end analytical data modeling in BigQuery using dbt.
• Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink).
• Develop clear, story-driven dashboards using tools like Looker or Tableau.
• Champion data quality, implement CI/CD for dbt models, and mentor junior team members.

What You Bring:

• 5+ years of experience in analytics or data engineering, with deep expertise in SQL.
• Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte).
• Proficiency in Python for data analysis and automation.
• Bonus: Experience with experimentation, ML/AI metrics, or platform productivity.

This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job title: Performance Analyst

Duration: 01/05/2026 - 30/11/2026

Clearance: BPSS

Location: London (Hybrid)

Required skills:

Required Skills, Characteristics & Experience

• Experience operating as a Performance Analyst within a UK Government setting. NHS experience preferred but not mandatory
• Excellent Data Analysis/Data Science skills and experience, including use of BI, Excel and other tools
• Strong Python, R, SQL skills and experience
• Experience extracting and collating data from multiple Legacy systems
• Experience with Data Reporting tools (eg Tableau/PowerBI)
• Experience working in an Agile and dynamic delivery environment in which change and ambiguity often exist

Soft skills are just as important as technical skills for this role - it is critical to demonstrate the right attitude and characteristics to be successful.

This requires:

• Strong communication and collaboration skills - critical to build good relationships and to work well with people
• Collaboration - needs to be a team player and work closely and well with many different people both inside and outside the team
• Enthusiasm and engagement with a positive attitude
• Pro-active - do not expect to be told what to do - will need a level of drive
• Handle ambiguity and change

The Role

This is a fantastic opportunity for a Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply AI, machine learning and data science to complex real-world challenges in the radio frequency domain. The role will focus on investigating emerging technologies, developing proof-of-concept solutions, and translating cutting-edge research into practical applications that support defence and security partners. Working closely with researchers, engineers and stakeholders, the postholder will contribute to experimental projects, communicate findings through reports and presentations, and help advance innovative approaches in a collaborative, mission-driven environment.

Your Profile

We re looking for a technically strong data scientist with experience in machine learning, AI or radio frequency signal analysis, and a track record of applying advanced methods to complex real-world problems. The ideal candidate will bring strong programming skills, ideally in Python, an understanding of good software and reproducible research practices, and experience working with stakeholders to shape and deliver impactful technical work. They ll be an effective communicator who can explain complex ideas clearly, work independently as well as collaboratively, and thrive in an agile, research-led environment where experimentation, learning and innovation are central. A background in areas such as physics, engineering, mathematics, communications, radar or data science would be especially valuable, along with the ability to obtain UK Security Clearance.

Duties and Areas of Responsibilities

• Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face.
• Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems.
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of concept outputs which can be deployed in real-world situations.
• Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, and guiding collaborations to success.
• Present, disseminate and explain our work via presentations, reports and workshops.
• Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs

Application Procedure

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email .

CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST)

We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received.

Terms and Conditions

This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Security Clearance

Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance.

Successful applicants will be subject to a Dstl research workers check at offer stage.

Equality, Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.

The Role

This is an exciting opportunity for a Senior Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply cutting-edge AI and data science to complex real-world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment. Working closely with researchers, engineers and external stakeholders, the postholder will lead and support exploratory projects, communicate findings through reports and presentations, and help shape future research in an agile, collaborative and mission-driven setting.

Your Profile

We re looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate will bring strong programming capability, ideally in Python, experience leading technical or research projects and the ability to work closely with stakeholders to shape problem definitions and deliver practical, high-quality outputs. They will be a confident communicator who can explain specialist ideas clearly, support and guide more junior colleagues and thrive in a collaborative, experimental environment that values autonomy, rigorous thinking and continuous learning. A background in areas such as physics, engineering, mathematics, radar, communications, or data science would be particularly valuable, along with eligibility to obtain UK SC clearance.

How You’ll Make an Impact

• Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face.
• Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems.
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations.
• Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success.
• Present, disseminate and explain our work via presentations, reports and workshops.
• Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs.
• Take ownership of a particular domain challenge area or methodology for the group.
• Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute.

Application Procedure

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email .

CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST)

We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received.

Terms and Conditions

This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £54,612-£62,381 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Security Clearance

Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance.

Successful applicants will be subject to a Dstl research workers check at offer stage.

Equality, Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.

The Role

We are seeking to appoint a Research Associate to work within CETaS. The successful candidate will work across a range of research projects relating to emerging technology and national security, engaging with stakeholders across the UK government, academia and the private sector. They will gain experience in designing and delivering high-quality mixed-methods research for an external audience, and relationship building with senior national security decision-makers. They will contribute directly to high-profile impactful public research reports and will have the opportunity to represent the Turing at various stakeholder engagement activities, such as workshops, conferences and other events.

The successful candidate will be a highly motivated, inquisitive and collaborative researcher, who will work closely with researchers from CETaS and other research organisations. The ideal candidate will have a strong track record in delivering research in the field of emerging technology and security. They will have experience of engaging with key decision-makers, and synthesising complex material in an accessible format for a non-expert policy audience.

While the position is based in our London office at the British Library, we offer flexible working arrangements with regard to hybrid working (working a blend of in-person vs remotely). The position is available full-time, but we are open to those seeking a four-day arrangement (80% FTE).

Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website.

Your Profile

We want to hear from curious and analytically minded researchers with a strong interest in technology and security, ideally within a policy context. The ideal candidate will have experience in conducting rigorous research, including data driven, statistical, or other quantitative analysis, and will be confident applying academic research methodologies in practical settings.

Educated to degree level in a relevant field, or with equivalent experience, we are seeking someone who is building a track record of high quality research outputs, such as academic publications or policy reports. Strong communication skills are essential, with the ability to present complex ideas clearly to both specialist and non specialist audiences and a collaborative team player who works effectively across disciplines and organisational boundaries.

It is essential for individuals to be able to achieve UK Security Clearance (SC) once in post.

Main Duties

• Develop, deliver and present high-quality academic research on topics related to emerging technology and national security
• Articulate the findings and implications of this research to a non-expert policy audience, through various channels, both written and verbal
• Review and quality control written outputs produced by other researchers, both at the Turing and externally
• Co-organise CETaS events, such as workshops and conferences, to inform and showcase research findings
• Support the work of policymakers, regulators and others by providing advice, attending workshops and giving presentations

Please see our portal for a full breakdown of the role.

Closing date for applications: Thursday 30 April at 23:59 (London, UK BST)

We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received.

Term and Conditions

This full-time post is offered on a fixed term basis for 1 year, with the possibility of extension following the initial term. The annual salary range is £45,000-50,000 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

Applicants must be based in the UK and be able to travel to the Turing offices in London when required.

The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Application Procedure

If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter.

If you have questions about the role or would like to apply using a different format, please email

Equality, Diversity and Inclusion

The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly.

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition.

Please contact us at to tell us how we can assist you.

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London.

This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You’ll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems.

This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts.

Requirements

• 5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments)
• Experience with energy commodity time-series datasets is a must-have
• Understanding of systematic trading workflows (signal generation, back-testing, model validation)
• Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops
• ETL/ELT frameworks experience writing pipelines to load millions/billions of records
• Advanced skills in writing highly optimized SQL code & relational databases
• Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.

Desirable

• Exposure to AWS & Snowflake technologies
• Familiarity with short-term power market data sources, such as EPEX, ENTSO-E or Nord Pool, is strongly preferred

Rewards and Incentives

• Competitive base salaries + bonuses
• Generous benefits program, including
  • parental and family leave policies
  • comprehensive insurance (medical, dental, retirement, life)
  • charity volunteering allowance + charitable contribution match program
  • tuition assistance & reimbursement + continued learning opportunities

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are suitable for this role, drop me an email or give me a call:

Jack Peck
[e] jack.peck@oxfordknight.co.uk
[t] +44 20 3745 6537
linkedin.com/in/jack-peck-448a70131

Salary: up to £200k base + bonus

Summary

Fantastic opportunity for an experienced engineer to lead a brand-new data engineering team at this tech-savvy algorithmic trading firm. A very hands-on tech lead, you’ll be building a new system for processing and managing daily data that is used company-wide (including corporate actions, fundamentals, and index membership data).

Your focus will be collating the data most critical to the business, now and in the future, to ensure there is a singular, clean, easy-to-access & well-integrated data repository. As the owner of the firm’s daily data, you will be expected to anticipate the business’s needs so that the normalised data schema is minimal yet sufficient.

This firm uses Go for much of their software - prior Go experience is not necessary (but you must be be willing to learn and integrate with the existing software stack as necessary).

Requirements

• Several years of experience working with financial data; knowledge of the subtleties of corporate actions will be crucial
• Strong and confident programmer in Java, C++, Go, or other statically typed language.
• Solid understanding of data analysis and statistics required to ensure sufficiently clean data, and some knowledge of statistics/basic ML would be highly beneficial

NB: Please don’t apply if you are a fresh graduate.

Benefits

• Generous compensation package - you are making a direct impact on the PnL
• Flat hierarchy, focus on teamwork, where people are rewarded on merit and excellence
• Outstanding benefits, including onsite gym/sauna/fitness classes, extensive medical cover, and excellent professional development opportunities
• Autonomy to work in the manner and using the software & hardware that you see fit

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you or you’d like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

Summary

One of the world’s most prestigious hedge funds is looking for an outstanding Quant Researcher to join one of their systematic trading pods.

This is a high-impact role, joining a small PM-led team that enjoys huge autonomy and are looking to grow their risk-taking. You’ll work closely with the Portfolio Manager, drawing on your previous experience to develop quantitative investment models, build unique insights into various datasets, and engineer robust systems that will be used as part of the trading strategies. You’ll also apply scientific methods to improve the efficiency of a research and trading pipeline.

If you’re looking for a dynamic, entrepreneurial and supportive environment and you enjoy seeing the impact of your work on a daily basis, then this is the role for you!

Requirements

• Strong technical academic background (Maths/Comp Sci/Engineering/Statistics) - Masters or PhD would be ideal
• Experience using sophisticated mathematical tools in different contexts
• Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data
• Strong programming skills in at least one language (C++ and Python preferred)
• Financial industry experience preferred, but not required

Benefits & Incentives

• Significant salary + a bonus tied to profits / trading strategy success
• Greenfield work / big impact with lots of project ownership
• Positive, friendly culture and rewarding place to work
• Work-from-home opportunities

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
To apply for this role, or for further information, please contact:

Maia Ellis
maia.ellis@oxfordknight.co.uk
020 3745 6539
linkedin.com/in/maia-ellis-38a577193

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player, this leading quant fund is looking for a highly proactive C++/Python engineer to join their rapidly expanding crypto division as they help shape the future of the industry.

In this role, your work will include building and optimizing trading strategies; researching new protocols; researching new data sources; designing and improving our research and trading systems; and collaborating with others inside and outside of the team to advance the team’s dual mission of being the top crypto trader in the world and a major contributor in the crypto ecosystem.

The ideal candidate will be a hybrid quant/dev with high personal coding standards. You’ll leverage existing utilities and open-source software effectively, and make decisions to optimize the team’s productivity, not afraid to take the longer road if it makes the code more extensible/testable.

Requirements

• At least 2+ years’ programming experience in C++/Python
• Excellent understanding of Unix and git
• Proponent of cleanly architected systems
• Ability to work creatively and independently on long-term projects

Desirable

• Distributed systems experience
• Interest in open-source software and/or cryptocurrencies

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
To apply for this role, or for further information, please contact:

Maia Ellis
maia.ellis@oxfordknight.co.uk
020 3745 6539
linkedin.com/in/maia-ellis-38a577193

Job Purpose

The Market Regulation Analyst supports the ICE Futures Europe (IFEU) Market Regulation department in meeting its regulatory obligations by leveraging advanced data skills to enhance market surveillance and compliance controls. This data-driven role requires strong programming abilities in SQL and Python, as well as excellent analytical and investigative skills to interpret large, complex datasets and develop innovative solutions. The analyst must be proactive, collaborative, and able to communicate clearly, with a keen interest in finance and research, and the ability to produce concise business requirement documents.

This position would be suited to a recent graduate.

Responsibilities

• Propose and implement improvements to market surveillance and market regulation processes to enhance regulatory effectiveness.
• Test, validate, and continuously improve controls to ensure their effectiveness and proactively enhance detection capabilities.
• Draft, review, and maintain clear business requirements for data-driven solutions, ensuring documentation remains current and relevant.
• Analyse large-scale trading datasets to support investigations and provide robust evidence.
• Develop and apply advanced analytic tools and programming languages (Python, SQL, Excel, VBA, or R) to identify and investigate potential irregular trading activities.
• Prepare and deliver management information and analytical reports for colleagues and senior leadership.
• Deliver responsive and professional support to Members and market participants, addressing inquiries via telephone and email.
• Contribute to ad-hoc projects as required, demonstrating flexibility and initiative.
• Support the review and publication of open interest and position reporting.

Knowledge and Experience

• Degree or equivalent qualification in Computer Science, Mathematics, Economics, Statistics, or a related discipline.
• Good understanding of financial derivative markets.
• Demonstrated proficiency in programming languages such as Python, SQL, or R.
• Exceptional analytical abilities and attention to detail.
• Effective written and verbal communication skills, with the ability to interact confidently at all organisational levels, including external stakeholders.
• Proven capability to identify and resolve complex issues efficiently.
• Strong organisational skills, with the capacity to manage multiple priorities under pressure and meet deadlines.

Senior Data Scientist / Product Analyst II - Engineering Platform

Location: London, UK (Hybrid)

The Mission

Behind every global streaming giant is a massive engine of internal tools and infrastructure. We are looking for a data expert to join our Platform Insights team. Your “customers” aren’t the end listeners-they are the hundreds of world-class engineers building the applications used by millions. Your goal is to optimize the developer experience, ensuring our internal systems are fast, stable, and scalable.

What You’ll Do

• Drive Product Strategy: Partner with Product Managers and Engineers to define what “success” looks like for internal developer tools and cloud infrastructure.
• Full-Stack Analytics: Define key metrics, build robust datasets, and create high-impact dashboards (SQL/Python).
• Exploratory Research: Deep-dive into technical logs and user behavior to identify friction in the software development lifecycle.
• Influence Change: Communicate technical insights to senior stakeholders to prioritize high-value infrastructure investments.

Who You Are

• The Technical Analyst: You have 5+ years of experience in a quantitative role, with mastery of SQL and Python/R.
• Domain Enthusiast: You have a genuine interest in how software is built-familiarity with CI/CD, Cloud Infrastructure (GCP/AWS), or Software Architecture is a major plus.
• Bridge Builder: You can translate “complex system data” into clear, actionable business recommendations.
• Quantitative Background: Degree in Computer Science, Stats, Math, Economics, or a related field.

Why This Role?

This isn’t a standard marketing analytics role. You will be at the heart of technical innovation, helping one of the world’s most admired tech companies scale to a billion users by empowering the people who build it. Please apply here or share your updated CV to (url removed)

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Role: Data Scientist Type: Contracts (6 Months) Location: London, UK (REMOTE) Working Model: Fully Remote Payrate: (Apply online only) GBP/day on PAYE (Apply online only) GBP/day on RUPAYE (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: Join our team to drive data quality and empower cross-functional decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption. What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt. Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau. Champion data quality, implement CI/CD for dbt models, and mentor junior team members.What You Bring: 5+ years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse, and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity.This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy

SCUK Data & Reporting Analyst Country: United Kingdom

Santander Consumer Finance UK (SCUK) is based in Redhill, Surrey and provides motor finance to a network of car dealerships throughout the United Kingdom.

We are now looking for a Data and Reporting Analyst to be responsible for developing and maintaining standardised automated reporting processes conforming with data governance requirements across SCUK’s Operation. This is key to ensure business as usual KPI’s can be measured by leadership teams and that ongoing change is supported by meaningful and analysed data.

Please note this role is a hybrid role with at least 3 days a week in the Redhill office. Remote workers will not be considered.

Responsibilities will include:

• To develop and maintain standardised automated reporting ensuring that it is streamlined operationally and contains a single source of the truth to track operational performance
• To ensure all data is clear and engaging through visualisations when presented
• Manage various initiatives and contribute towards overall programme and project deliverables through the production of meaningful reports and complex data analysis
• Employs a “rapid response service” to take care of quick fire and simple business questions
• Defines, creates and maintains the data required for ad-hoc and regular reporting as well as dashboards needed for programme delivery and/or portfolio-level decision making
• Handles large volumes of data using SAS, SQL Server and Business Objects
• To communicate, present and influence at all levels
• To create and update procedure guides to evidence how tools and reports function
• Promotes sound governance and works in line with control frameworks to ensure data is of the highest accuracy
• Adhering to our commitment to Consumer Duty ensuring we put our Customers’ needs first and set higher and clearer standards of consumer protection

What we’re looking for:

• Previous experience in a complex role producing MI
• Master of the art of data visualisation
• Extensive experience in use of BI tools like Tableau, Power BI, or QlikView for data visualisation and analysis
• Advanced Microsoft Excel for data manipulation (Index, Match, VBA, complex formulas
• Demonstrable experience in SAS, SQL Server and Business Objects
• Advanced knowledge database interrogation & programming skills (relational database, advance select queries, indexes, and constraints)
• Solid understanding of data security and compliance standards to protect the integrity and confidentiality of data
• Has experience of implementing suitable control mechanisms to prevent occurrence or re-occurrence of data quality issues
• Proven experience in conveying complex data findings to non-technical stakeholders in a clear and understandable manner
• Ability to use Technical Writing to create accurate product and service documentation
• Possess excellent communication skills and the ability to liaise with all stakeholders at all levels
• Good analytical, problem solving and conceptual skills in order to develop methodologies and processes

We have a range of benefits available which include:

• Competitive salary of £38,000 - £42,000 (dependant on skills & experience)
• 27 days holiday per annum, plus bank holidays
• Annual bonus based on personal and company performance
• £500 flexible benefit allowance
• Generous pension contributions
• Employee assistance programme
• Sharesave scheme
• Gym passes at a reduced rate for 3,000 gyms, leisure centres etc

Other things you need to know:

• The working hours for this role are 09:00-17:00, across Monday - Friday

Inclusion

• At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair
• At Santander Consumer Finance we have a zero-tolerance approach to discrimination, bullying, harassment (including sexual) or victimisation of any kind
• Should you want to be considered for part time hours, please let us know and we can assess your requirements

What are the next steps:

• If you are interested in this role and believe you have the skills, experience, and knowledge then we’d love to hear from you. Please go ahead and click apply which will take you through some questions and allow you to submit your CV and covering letter

SAS Engineer - London and remote - 8 months+/RATE: £280 per day inside IR35

One of our Blue Chip Clients is urgently looking for a SAS Engineer.

For this role you will need to be onsite in London 2 days per week.

Please find some details below:

MUST BE PAYE THROUGH UMBRELLA

Role Description:

SAS Model Development & Enhancement (SAS Model Developer)

1. Design, develop, and implement statistical, pricing, or predictive models using SAS.
2. Build modelling datasets, feature engineering pipelines, and variable transformations.
3. Implement model logic, segmentation rules, scoring code, and scenario simulations.
4. Translate business/model requirements into robust SAS code.

SAS Programming (Mandatory)

1. Build efficient and reusable SAS programs using Base SAS, SAS Macros, Data Step, SQL.
2. Develop automated pipelines for model execution, scoring, and monitoring.
3. Optimise SAS code for performance and scalability.

Model Validation & Testing

1. Conduct back-testing, model performance assessment, sensitivity checks, and stress testing.
2. Validate datasets, assumptions, sampling methods, variable selection, and model accuracy.
3. Prepare documentation for model testing, governance, and regulatory review.

Data Analysis & Insight Generation

1. Analyse large structured datasets to derive patterns, insights, and business recommendations.
2. Support teams with analytical outputs, trend analysis, and performance deep dives.
3. Produce high-quality artefacts such as model documentation, technical specifications, and impact analyses.

Model Deployment & Product ionisation

1. Convert prototype/model logic into production-ready SAS code.
2. Support scoring implementation, versioning, and production monitoring.
3. Work with IT/Data Engineering teams to deploy models in controlled environments.

Required Skills & Experience
5-10+ years of SAS programming experience.

Hands-on experience in:

1. SAS Base, SAS Macros, Data Step programming
2. SAS SQL
3. SAS Enterprise Guide or SAS Studio

Strong understanding of modelling concepts such as:

1. Regression (linear/logistic)
2. Time-series forecasting
3. Segmentation models
4. Risk, pricing, or predictive modelling

Experience with model development life cycle (MDLC) - development, testing, validation, documentation, and deployment.
Strong data extraction, cleansing, transformation, and feature engineering skills.
Experience working with large datasets and complex data workflows.

Please send CV for full details and immediate interviews. We are a preferred supplier to the client.