Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Salary: up to £200k base + bonus

Summary

Leading global HFT firm is looking for a pragmatic C/C++ Engineer to join the Core Development team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player.

Core Dev is a global group of technologists who architect, build and maintain the algorithmic trading platform. This is a fast-paced area, where taking ideas through to deployment must be fast and accurate. As a high performance software engineer, you’ll work with technologists & traders to build the next generation of software solutions in areas such as fast networking, high performance computing, and real-time acceleration.

Technology is prized by the traders as crucial to their continued success. This role would suit someone who has a combination of low level software engineer skills paired with computer architecture understanding, and exposure to low level network architecture. This will enable you to fully contribute to co-designing hybrid hardware/software applications.

Requirements

• Strong C/C++ design and programming skills with good API design
• Broad knowledge of algorithms and basic understanding of statistics and algebra
• Experience with Python, Matlab, or R for data analytics; Matplotlib, numpy are also preferred
• Experience developing low-level and/or embedded software applications
• Proven individual contributor in a dynamic environment
• Degree in Electrical/Computer Engineering, Computer Science (or related)

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

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
If this sounds like you or you would 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

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.

Data Analyst - SQL, Excel, Power BI/Tableau, Python/R Data Analyst - SQL, Excel, Power BI/Tableau, Python/R The location of the role is Cheltenham. The duration of the contract is 12 months. The pay rate on offer is £20 - £30 per hour via PAYE (37 hours per week). Summary Data Analyst position that would suit someone with 2-3 years’ experience post University degree in a relevant field. Key Activities Provide support to all activities related to digital transformation
Support Business change manager to run an effective operating rhythm with reports and dashboard preparation
Support initiatives to automate and digitize processes, identify opportunities of simplification and optimization, track and document business data sources
Track and administer digital transformation projects and other improvement activities run across the campus
Manage digital reporting tools and dashboard; support implementation of digital tools
Research and definition of the potential future data analytics strategy for Engineering Operations
Engage cross functionally facilitating process reviews / improvements and building relationships across the organisation.Essential Responsibilities Data Collection & Cleaning: Gathering data from primary and secondary sources (databases, surveys) and scrubbing it to ensure accuracy and consistency.
Data Analysis: Identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical methods.
Reporting & Visualization: Developing visualizations, dashboards, and reports using tools like Tableau, Power BI, or Excel to make data insights accessible to non-technical audiences.
Database Management: Writing SQL queries to extract, manipulate, and structure data.
Stakeholder Collaboration: Partnering with departments (marketing, IT, finance) to understand needs and providing evidence-based insights to support decisions.
Process Improvement: Identifying, analyzing, and interpreting trends or patterns in complex data sets.Qualifications / Requirements Technical Skills: Proficiency in SQL and database management. Experience with analytical tools (Python, R, SAS) is often required. Expertise in Excel and visualization tools (Tableau/Power BI) is essential.
Analytical Skills: Strong mathematical skills for data analysis and interpretation.
Communication: Ability to articulate complex data insights to stakeholders through reports and presentations.
Education: A degree in mathematics, statistics, computer science, or economics is common.Desired Characteristics Driven and motivated to get involved in projects
Organised & able to work to deadlines
Strong verbal and written communication skills
Able to take ownership for projects
Strong Analytical and problem-solving skills
Proficient in Microsoft Office
Able to work as part of a team

Data Analyst (Fully Remote - 3 month - Part Time/Approximately 10-15 days utilisation over the course of 3 months) Our client, based in Heathrow, a leading aviation organisation are looking for a data analyst on a short term basis. The role will suit someone used to taking on contracts of short or part time nature and assisting with data analysis in a short form/consultative capacity. It is fully remote. The Data Analyst is responsible for collecting, validating, analysing, and interpreting data to support business decision‑making. This role transforms raw data into actionable insights and collaborates with stakeholders to improve operational performance and strategic planning. Key Responsibilities Collect, process, and validate large datasets from multiple sources.
Identify trends, patterns, and insights to support business decisions.
Work closely with stakeholders to understand data needs and translate them into analytical outputs.
Review data and ensure quality, accuracy, and integrity.
Build and automate reporting processes to improve efficiency.
Support modelling, and scenario analysis activities.
Document data sources, methodologies, and analytical processes.
Ensure compliance with data governance and information security policies.Required Skills and Competencies Technical Skills Strong proficiency in data analysis tools (Excel, SQL, Python and/or R).
Experience with BI tools (Power BI, Tableau, Qlik) is beneficial
Ability to work with relational databases and complex datasets.
Understanding of statistical methods and data modelling.Core Competencies Excellent analytical and problem‑solving skills.
Strong attention to detail and accuracy.
Ability to communicate insights clearly to non‑technical audiences.
Strong organisational and time‑management skills.
Ability to work independently and collaboratively.Qualifications & Experience Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related discipline.
Experience in Aviation is an advantage
Experience in a data analyst or similar role (1-3 years for standard roles; adjust as needed).
Experience with cloud data platforms (Azure, AWS, GCP) is beneficial.
Knowledge of ETL processes and data governance frameworks is an advantage.Personal Attributes Curious and proactive mindset.
Strong business acumen and willingness to learn.
Ability to handle confidential information with integrity.
Collaborative team player with a positive attitude.Again, this is a short term, part time role that requires 10-15 days utilisation across the 3 month period, initially. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Microsoft Fabric BI Developer Contract Guildford, Surrey. Full-time, inside IR35. Standard 8 is working with a regulated, engineering-led business looking for someone to take full ownership of its data platform and reporting. This is a genuinely hands-on role, sitting across engineering, modelling and reporting, focused on building something robust rather than just surface-level dashboards. You ll own Microsoft Fabric end-to-end across Warehouse and Lakehouse, build and manage pipelines using Azure Data Factory and Fabric, and ensure clean, reliable data flows from core systems including SAP. Alongside this, you ll set standards around storage, performance and governance, while running the reporting environment properly across workspaces, deployments and capacity. On the reporting side, you ll design strong Power BI semantic models, deliver dashboards and reports people actually use, and create structured golden datasets to support self-service without chaos. You ll also handle security properly, including RLS and OLS, ensuring everything meets regulatory standards such as GDPR, PCI and ITAR. They re looking for someone with solid hands-on experience in Microsoft Fabric, strong data pipeline delivery, and deep Power BI knowledge across modelling, DAX and performance. Experience working with ERP or financial data is important, given the complexity and scrutiny involved. This suits a proper data engineer who understands reporting, comfortable owning a platform and pushing back when needed, bringing structure and standards into an environment that needs it. SAP Datasphere, PowerShell or R experience would be useful but not essential. Degree is optional, Power BI certification a bonus, and SC clearance eligibility is required.

Job Title: Recruitment Consultant Logistics Overview:

Recruitment Consultant in the logistics sector required, responsible for sourcing, attracting, and placing candidates within logistics, transport, and supply chain roles. This includes positions such as HGV drivers, warehouse operatives, transport planners, and logistics managers. The consultant acts as the key link between clients seeking to fill roles and candidates looking for employment opportunities.

Key Responsibilities:

• Client Management

  • Build and maintain relationships with existing clients within the logistics and supply chain sector.
  • Develop new business through networking, cold calling, and site visits.
  • Understand client requirements, job specifications, and company culture to deliver effective recruitment solutions.
  • Negotiate terms of business and ensure service level agreements (SLAs) are met.

• Candidate Management

  • Source candidates through job boards, social media, internal databases, referrals, and advertising.
  • Screen, interview, and assess candidates to ensure suitability for client requirements.
  • Manage the end-to-end recruitment process including offer negotiation, compliance, and onboarding.
  • Maintain regular contact with temporary and permanent staff to ensure satisfaction and retention.

• Administration & Compliance

  • Ensure all candidate documentation meets legal and company standards (e.g., right-to-work, driving licences, CPC cards).
  • Maintain accurate records on CRM or recruitment software systems.
  • Produce reports and KPI updates for management when required.

• Operational Support

  • Liaise with operations and transport managers to ensure adequate staffing levels.
  • Coordinate shift allocations and ensure smooth running of temporary staffing solutions.
  • Respond quickly to client staffing requests, particularly for short-notice or 24/7 logistics operations.

Skills & Competencies:

• Strong understanding of logistics, transport, and warehousing operations.
• Excellent communication and relationship-building skills.
• Ability to work under pressure in a fast-paced environment.
• Sales-driven mindset with the ability to meet and exceed targets.
• Organised and detail-oriented, especially regarding compliance and documentation.
• Proficient with recruitment systems, Microsoft Office, and job boards.

Qualifications & Experience:

• Previous experience in logistics recruitment (temporary or permanent) preferred.
• Knowledge of driver legislation, Working Time Directive, and RT(WT)R regulations.
• Full UK driving licence.

Apply Today!

Data Analyst - SQL, Excel, Power BI/Tableau, Python/R

The location of the role is Cheltenham.
The duration of the contract is 12 months.
The pay rate on offer is 20 - 30 per hour via PAYE (37 hours per week).

Summary Data Analyst position that would suit someone with 2-3 years’ experience post University degree in a relevant field.

Key Activities

• Provide support to all activities related to digital transformation
• Support Business change manager to run an effective operating rhythm with reports and dashboard preparation
• Support initiatives to automate and digitize processes, identify opportunities of simplification and optimization, track and document business data sources
• Track and administer digital transformation projects and other improvement activities run across the campus
• Manage digital reporting tools and dashboard; support implementation of digital tools
• Research and definition of the potential future data analytics strategy for Engineering Operations
• Engage cross functionally facilitating process reviews / improvements and building relationships across the organisation.

Essential Responsibilities

• Data Collection & Cleaning: Gathering data from primary and secondary sources (databases, surveys) and scrubbing it to ensure accuracy and consistency.
• Data Analysis: Identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical methods.
• Reporting & Visualization: Developing visualizations, dashboards, and reports using tools like Tableau, Power BI, or Excel to make data insights accessible to non-technical audiences.
• Database Management: Writing SQL queries to extract, manipulate, and structure data.
• Stakeholder Collaboration: Partnering with departments (marketing, IT, finance) to understand needs and providing evidence-based insights to support decisions.
• Process Improvement: Identifying, analyzing, and interpreting trends or patterns in complex data sets.

Qualifications / Requirements

• Technical Skills: Proficiency in SQL and database management. Experience with analytical tools (Python, R, SAS) is often required. Expertise in Excel and visualization tools (Tableau/Power BI) is essential.
• Analytical Skills: Strong mathematical skills for data analysis and interpretation.
• Communication: Ability to articulate complex data insights to stakeholders through reports and presentations.
• Education: A degree in mathematics, statistics, computer science, or economics is common.

Desired Characteristics

• Driven and motivated to get involved in projects
• Organised & able to work to deadlines
• Strong verbal and written communication skills
• Able to take ownership for projects
• Strong Analytical and problem-solving skills
• Proficient in Microsoft Office
• Able to work as part of a team

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

Role Title: Technical Data Analyst

Duration: contract to run until 30/11/2026

Location: Sheffield, Hybrid 3 days per week onsite

Rate: up to 437 p/d Umbrella inside IR35

Role purpose / summary

This role is critical to ensure successful delivery of the ongoing Controls Transformation Projects within CTO. Given the wide range of automation and tooling development activities being carried out, this role will ensure requirements are accurately gathered and documented for clear articulation of the timelines and efforts, which will enable us to achieve the delivery milestones.

The Opportunity:

The Data Analyst will collect, interpret and visualize complex data sets to provide actionable business insights. Identifying trends, patterns, and correlations to aid decision-making. It will also include retrospective documentation of existing data flows in order to provide transparent and easily consumable documentation / artefacts.

Key Responsibilities

• Data Collection: Gathering data from various sources and ensuring data integrity (often 60-70% of the role).
• Analysis & Modelling: Utilizing statistical methods to interpret data sets and identify trends, patterns, or anomalies.
• Reporting & Visualization: Where necessary supporting the development of automating reports and interactive dashboards (e.g., Tableau, Power BI), including validation of output.
• Stakeholder Collaboration: Communicating technical findings to non-technical audiences to support strategic decision-making.
• Database Management: Querying databases using SQL and optimizing data collection processes.

What you will need to succeed in the role:

• Technical Skills: Proficiency in SQL and Excel is essential; knowledge of R, Python, or specialized BI tools is highly preferred.
• Analytical Thinking: Strong problem-solving skills to understand the why behind the data.
• Mathematics & Statistics: Solid understanding of statistical analysis.
• Communication: Ability to present data insights clearly to stakeholders.

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!

Shift pattern: Full Time - 5 days in the office
Closing date: 13th April 2026

What you’ll be doing

In the Space, Range and Location Analytics team within the UK’s leading pharmacy-led health and beauty retailer, we are responsible for designing, developing and delivering data, models and insights. These allow us to give our customers what they want, where and when they want it.

Our award-winning team integrates across all parts of our business. If you are great at analytics and love retail and healthcare, you will have plenty of opportunities to make an impact. We have 1,900 stores and a significant online presence, and our purpose is to help our customers look and feel better than they ever thought possible.

We’re looking for someone who has the gift of translating complex analytics into easily understandable insights and principles.

You will encompass Location and Range, analytics, focusing on our geospatial data exploration and tooling capabilities. This opportunity is for those of you interested in supporting Boots in implementing business solutions from your analytical thinking and capability.

You’ll be supported in the role by a diverse team of experienced peers and leaders as you meet the evolving requirements of the retail and pharmacy analytics environment.

Key responsibilities

• You’re comfortable working both independently and collaboratively as part of a team.
• Excited by taking on responsibility and looking to lead value from data, and creating the insights and tools to solve business problems.
• Relevant previous experience or a degree with quantitative elements (i.e. includes statistics modules), such as Math, Physics, Geography, Data Science, Psychology.
• An interest in GIS (Geographic Information Science) principles.
• Stakeholder management experience - you will present complex results to less technical audiences.
• Comfortable using programming languages including SQL, Python, and R.
• Ability to balance multiple projects

It would be great if you also have:

• Experience using GIS software, especially ESRI and Alteryx.
• Demonstrable record of delivering results in a commercial or academic environment.
• Experience using data visualisation tools such as Power BI.
• Ability to deal well with ambiguity.
• Expertise in working with large structured and unstructured data sets, preferably in Databricks.

Rewards designed for you

• Pension membership
• Partial paid maternity leave
• Discretionary annual bonus
• Generous employee discounts
• Flexible benefits scheme

There’s lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Exclusions may apply; eligible roles only. Please note that any salary estimates provided on third-party sites are not endorsed by Boots Ireland and may not be accurate.

A bit about us

At Boots we’re proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported and free to be themselves. We believe that when our people feel valued and included, they thrive, so we’re committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.

What’s next

If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.

This role requires the successful candidate to complete a pre-employment check after receiving an offer, which may include a vetting check.

We hope to hear from you soon.

Be brilliant with Boots.

VVB delivers sustainable mechanical, electrical, and telecommunication engineering solutions with expertise and long-standing experience across Rail, Highways, Power, and Tunnels. Combining robust processes with specialist agility, our approach to projects always prioritises the best interests of our clients, our people, and the environment.

At VVB, our CORE Values define who we are, guiding our behaviours and decision-making across all levels. These values aren’t just principles - they represent the pillars of our company vision.

C – Care & Collaboration

O – Opportunity & Ownership

R – Responsibility & Respect

E – Excellence & End Result Focus

About the Anthro JV:

The Anthro joint venture between Egis and VVB Engineering will provide comprehensive turn-key services for London’s state-of-the-art HS2 gateway station at Old Oak Common. We have been awarded a multi-year contract to deliver MEPHFC (Mechanical, Electrical Public Health, Fire and Communications) systems works.

About the Role:

To assist the Delivery Manager with the delivery of the Mechanical Work Package at Old Oak Common Station. This will involve working with the Delivery Manager, project team, 3rd party design consultants, main contractor, Siemens SBS and 3rd party installation contractors to safely deliver the project, on time, to stated quality, at minimum cost and to client satisfaction.

Projects rely on accurate technical delivery. Gaps between design and installation can lead to delays, rework, and performance issues. A capable Engineer helps ensure systems are delivered correctly, supporting smooth commissioning, reliable operation, and long-term building performance.

Key Responsibilities:

• Assist Delivery Manager to deliver the project to meet cost, time, and quality requirements.
• Reviewing designs, specifications, and control strategies in line with current project applicable HS2, NR, BS, EN and ISO standards and to ensure buildability and constructability.
• Assisting Procurement of mechanical, public health, fire, electrical and BEMS equipment to ensure that requirements are fully compatible with the selected equipment including liaising with manufacturers.
• Identify any weakness or errors in the design that could jeopardise the functionality.
• Reviewing drawings, 3D Models and documentation.
• Coordinating site installation while ensuring HSE best practices are always followed.
• Coordinating any technical queries throughout design, installation and commissioning.
• Supporting testing, commissioning, and system validation.
• Support the Assurance team as required to comply with requirements of the HS2 and BBVS procedures.
• Assisting with handover documentation and client training.
• Mentor and support junior staff, contributing to continuous team development and technical excellence.

Required Technical Knowledge and Skills:

• Strong knowledge of building services, mechanical and public health plant, and HVAC systems integration.
• Demonstrable skills in design and commissioning.
• Full understanding of schematics and drawings.
• Understanding of the industry best practice.
• Minimum HNC or equivalent qualification in Mechanical Engineering (or equivalent).

Why Join Anthro?

By joining us, you’ll be part of a multi-disciplinary team delivering innovative engineering solutions for one of Europe’s largest infrastructure projects. We offer:

• A collaborative and dynamic work environment.
• The chance to work on a high-profile, state-of-the-art project.
• Career development and opportunities to grow with the business.

If you’re ready to take the next step in your career and share our commitment to excellence, we’d love to hear from you!

VVB values the benefits of a diverse workforce and is committed to treating all prospective and current employees with dignity regardless of age, disability, gender reassignment, marriage and civil partnerships, pregnancy and maternity, race, religion or belief, sex or sexual orientation. All employees must demonstrate commitment and enthusiasm in promoting the principles of equality in employment and service delivery.

NO RECRUITMENT AGENCIES

Description

The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation’s key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME’s.

Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities

• You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy
• You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered
• You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital
• You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables
• You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME’s
• You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams
• You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible
• You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners
• You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps
• You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business.
• You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing.
• You will develop collaborative and enduring relationships with the Asset Risk and wider business leadership teams, relevant stakeholders, and be an advocate for Asset Risk and our ways of working
• You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice.

Qualifications

• Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines
• Modelling: Ability to understand, operate, and explain complex models
• Accuracy & attention to detail: Ensuring accuracy in models and forecasts.
• Problem solving skills: Ability to develop solutions for complex financial problems.
• Communication skills: Can explain technical concepts to non-technical stakeholders.
• Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation’s strategic goals.

Minimum criteria
You’ll need all of these.

• A degree (Bachelor’s or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field
• Experience in forecasting, data analysis, or a related field
• Experience of delivering complex model updates (operational and development) with the effective communication of model outcomes
• Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools
• Experience managing complex projects and coaching analysts

Desirable criteria

• Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable
• Experience with advanced analytical techniques, including machine learning and predictive modelling

Benefits

Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800!000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day:

• We find solutions
• We drive change
• We care

We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available.

As a Motability Operations team member, the benefits you can expect are:

• Competitive reward package including an annual discretionary bonus
• 15% non-contributory pension (9% non-contributory pension during probation period)
• 28 days annual leave with option to purchase and sell days
• Free fresh fruit and snacks in the office
• 1 day for volunteering
• Funded Private Medical Insurance cover
• Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme
• Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help
• Funded health screening for over 50s
• Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans
• Employee Discount Scheme with an app to save on the go
• Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees
• Generous family leave policies

At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they’re rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender.

We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Design original computational physics problems that simulate real physics research workflows;
• Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
• Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
• Base problems on real research challenges or practical applications from physics practice;
• Verify solutions using Python with standard physics simulation libraries;
• Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Experience with numerical simulation methods;
• Ability to design problems that mirror real physics research workflows;
• Creative thinking in problem design across diverse physics areas;
• Familiarity with physics modeling and approximation techniques;
• Strong written English (C1+).

How it works

Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

Project time expectations

For this project, tasks are estimated to require around 1020 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Senior Data Scientist Decisioning & Pricing Intelligence

Manchester (Hybrid 2 days onsite)
Up to £90,000 + bonus

The Opportunity

This is not a role where you sit in a notebook building models no one uses.

Our client is a market-leading SaaS organisation operating at scale within the automotive ecosystem, building the intelligence layer that drives real-world commercial decisions across Europe.

They are investing heavily in data and AI to power a next-generation decisioning platform helping enterprise clients make high-value pricing, trading, and operational decisions across thousands of assets, in real time.

?? This is about building models that directly influence revenue, pricing, and market behaviour.

The Role

Youll take ownership of production-grade models that sit at the core of a live product used daily by commercial teams across multiple markets.

This includes:

• Pricing intelligence
• Buyer behaviour modelling
• Stock segmentation
• Recommendation systems

Youll work closely with product, engineering, and domain experts to ensure your work doesnt just function it lands, scales, and delivers measurable impact.

What Youll Be Doing

• Building and deploying machine learning models into production environments
• Designing decisioning systems that optimise pricing, channel selection, and asset performance
• Developing explainable models (SHAP, LIME, feature importance) that drive user trust
• Creating frameworks to measure real-world impact and model effectiveness
• Working with large, complex datasets across multiple markets
• Collaborating with product and engineering teams to embed models into live systems

What Were Looking For

• Strong experience in machine learning, statistical modelling, or pricing / propensity modelling
• Proven track record of delivering models that go into production and stay there
• Experience working in commercial environments where data drives decisions
• Strong Python (or R) experience across modern data science tooling
• Familiarity with MLOps, model monitoring, and deployment pipelines
• Ability to communicate complex outputs clearly to non-technical stakeholders

Data Scientist – Marketing Effectiveness – £60k–£95k – MMM – AI MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid | Do you want to work with a business that is a global leader in Marketing Effectiveness and AI‑powered solutions? A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real‑world impact from data? A genuine opportunity to lead high‑impact MMM programmes, influence C‑suite decision‑making, and work alongside high performers across the globe? An opportunity to join a mission‑driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI. They don’t just build models, they turn insights into action. You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets. You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day‑to‑day client contact, running workshops and senior‑level presentations. They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts. The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries. If it ticks those boxes, don't hang about - apply or email me on (url removed) MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential.

You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk.

Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture.

You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.

Key Responsibilities

• Lead the design and implement machine learning models to predict programme delivery risks and financial overruns.
• Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable.
• Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs).
• Contribute to the development of the Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making.
• Support the annual investment planning process with data-driven analysis and scenario

Required Experience & Qualifications

• Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar.
• Experience of LLM prompt engineering for systematic feature extraction from unstructured data.
• Strong SQL and data wrangling skills; experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data.
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform.
• Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA.
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.
• Strong communication and collaboration skills.
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.
• Commitment to continuous learning and innovation.

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.

With a reputation for being a stable and well-run global banking organisation, this global banking group has done an excellent job of steadily growing their business, retaining talent and developing the careers of its staff, while fostering a positive team-first working culture. Their Internal Audit function has a remit to further develop the department’s Data and Analytics capability and is looking for a Data & Analytics professional to support audit and credit related assignments across EMEA by leveraging data analytics and maintaining Computer Aided Auditing Tools (CAATs) for continuous auditing and monitoring.

This role sits within the Audit department and will be working with the Audit teams on a variety of assignments to investigate how the data within Bank systems may be analysed to assist the auditors in assessing the controls implemented.

Profile Requirements:

1. 1. Proficiency in data analytics tools (Python, R, ACL, SAS) and visualization platforms (Tableau, Power BI).
   2. Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica).
   3. Strong communication and interpersonal skills, including presenting insights to senior stakeholders.
   4. Ability to work independently and collaboratively across teams.
   5. Commercial awareness and understanding of business processes in Corporate Banking, Capital Markets, and Credit.
   6. Knowledge and understanding of using AI within Internal Audit would be advantageous.
   7. Experience of being within the data analytics team of an Internal Audit function

Responsibilities / Tasks:

• • Collaborating with Audit teams to deliver data-driven insights.
  • Developing dashboards, reports, and presentations for senior management.
  • Maintaining documentation and understanding of data structures across firm systems.
  • Supporting the delivery of approximately 80 internal audit reports annually.
  • Managing and prioritising data analytics requests and development pipelines.
  • Collaborating with team members and promoting adoption of analytics tools within the Audit department.

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.

Job Title: Junior Data Scientist Location: Nottingham Salary: £33,000 - £38,000 Type: Permanent || Full Time Hours: Monday – Friday || On-site Overview The Flavour Network is in close partnership with a fast-growing, data-driven manufacturing business to recruit a Junior Data Scientist. This is an exciting opportunity for someone early in their career to join a growing data team and play a key role in supporting data-led decision-making across the business. As the Junior Data Scientist, you will work across multiple departments, analysing data, building models, and generating insights that directly impact business performance. This role is ideal for a curious, motivated individual eager to learn and develop in a fast-paced, collaborative environment. In return, you’ll receive a competitive salary, learning and development support, a wellbeing allowance, access to team events and employee perks, birthday leave, and the opportunity to grow within a scaling business. Key Responsibilities for the Junior Data Scientist: \* Collect, clean and preprocess data from multiple sources \* Conduct exploratory data analysis to identify trends and insights \* Support the development and validation of statistical and machine learning models \* Create reports, dashboards and visualisations to communicate findings \* Collaborate with stakeholders across the business to understand requirements \* Deliver actionable insights to support commercial decision-making \* Document data processes and methodologies to ensure accuracy and consistency Requirements for the Junior Data Scientist: \* Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field \* Experience with Python, R, or similar for data analysis \* Familiarity with data visualisation tools (e.g. Tableau, Power BI) \* Working knowledge of SQL and relational databases \* Strong analytical and problem-solving skills \* Excellent communication skills, with the ability to explain data to non-technical stakeholders \* Eagerness to learn and develop new skills \* Proactive and adaptable approach \* Internship or project experience in data analysis or modelling is desirable \* Exposure to cloud-based platforms is desirable \* Experience with version control tools such as Git is desirable If you are a motivated, detail-oriented graduate or junior professional looking to build a career in data science at a growing business, we would love to hear from you

We are seeking a talented Quantitative Developer to join an established and highly successful systematic Stat-Arb Equities team at a tier‑one hedge fund in London. This exciting position will be sat on the trading desk, reporting directly in to the Portfolio Manager, forming part of a highly hands‑on mid-frequency systematic stat‑arb equities team. You will use advanced techniques to enhance existing frameworks and drive further improvements in algorithmic trading performance.

Following several highly successful years, the team is expanding and looking for a technically strong quantitative developer who enjoys working closely with a trading team, seeks greater exposure to trading, and is motivated to help drive the ongoing development and enhancement of trading infrastructure and analytics.

You will work in a highly collaborative, research driven environment where quantitative developers are involved across the full quantitative lifecycle, including building research and backtesting tooling, implementing trading strategies, optimisation and continuous performance enhancement. This will be alongside working closely with senior members of the team who provide ongoing mentorship, technical guidance, and exposure to strategic decision‑making.

Key Responsibilities

• Design, build, and maintain research and production‑grade trading infrastructure for systematic equities strategies.
• Work closely with the Portfolio Manager and quantitative researchers to implement, optimise, and maintain stat‑arb equity strategies.
• Develop robust, efficient, and scalable Python and R codebases for research, backtesting, and live trading.
• Contribute to improving data pipelines, analytics frameworks, and monitoring tools within a Linux environment.
• Support strategy performance analysis, debugging, and ongoing enhancement of live models.
• Take ownership of code quality, testing, and performance in a fast‑moving trading environment.

Required Qualifications

• 2-5 years of experience in a Quantitative Developer, Software Engineer, or similar role.
• Strong hands‑on development experience working in a Linux environment.
• Advanced skills in Python.
• Solid experience with R.
• Strong software engineering fundamentals, including version control, testing, and production‑ready code.
• Excellent problem‑solving skills, attention to detail, and the ability to work independently in a high performance team.

Preferred Qualifications

• Familiarity with systematic equities strategies.
• Experience working closely with PMs or traders in a front‑office environment.
• Experience optimising research workflows, backtesting frameworks, or execution systems.
• Familiarity with large datasets, time‑series analysis, and quantitative performance diagnostics.
• Background in Computer Science, Engineering, Mathematics, Physics, or another quantitative discipline.