Job description Lead Data Scientist Location: Hybrid (Belfast) Eligibility: UK work authorisation required We're hiring a Lead Data Scientist to drive high-impact data and AI work while leading and mentoring a growing data science team. This role blends technical leadership, people management, and close collaboration with customers to deliver meaningful, data-led solutions. Why join? \* Senior role with real influence over projects, people, and direction \* Mix of leadership, hands-on problem solving, and client engagement \* Flexible hybrid working and a strong, supportive culture What you'll be doing: \* Leading delivery of data science and AI projects end to end \* Acting as technical lead across customer engagements and solution roadmaps \* Mentoring, coaching, and line-managing data scientists \* Defining best practices and improving how data science is delivered \* Shaping product direction and supporting pre-sales activity What you'll bring: \* Proven experience delivering data science, ML, and AI solutions \* Strong leadership skills and confidence working with customers \* Solid background in Python or R, SQL, and modern ML techniques \* Experience mentoring others in agile, engineering-led teams \* Clear communication skills and a proactive mindset Nice to have: \* Experience with GenAI, NLP, computer vision, or advanced ML libraries \* Cloud-native or container-based development experience \* MSc or PhD in a relevant discipline Interested? Get in touch with Justin Donaldson to apply or find out more. Skills: Ml AI NLP Python SQL

CSL’s R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide.

Position Description Summary

The Associate Director, AI & Advanced Analytics supports the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D. Contributes to technical delivery, stakeholder coordination, and responsible governance practices to enable innovation and efficiency.

Main Responsibilities

• Support development and deployment of AI models, automation scripts, and intelligent agents.
• Partner with R&D teams and digital leads to identify and prototype use cases aligned to business needs.
• Contribute to MLOps processes, model documentation, and system validation workflows.
• Help drive platform integration, compliance tracking, and continuous improvement initiatives.
• Collaborate on internal capability building (e.g., hackathons, training) and end-user support.
• Track success metrics such as usage, performance, and value delivered.

Qualifications and Experience Requirements

• Bachelor’s or Master’s in Data Science, Computer Science, or a related field.
• 10+ years of experience in AI/ML, analytics, or automation, preferably in R&D or life sciences.
• Practical experience building or supporting machine learning pipelines or agent-based tools.
• Familiarity with MLOps tools, low-code automation platforms, or scripting languages (e.g., Python, R).
• Strong communication and project coordination skills.

About CSL Behring

CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.

CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.

To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor  visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.

Our Benefits

For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.

You Belong at CSL

At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.

To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging

Equal Opportunity Employer

CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.

Role: Gen AI Engineer Location: London, UK Duration: Contract Job Description: Your Profile Essential skills/knowledge/experience: Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field.

5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc.

Hands-on experience with fine-tuning/training LLMs and complex Graph RAG solutions (production environment).

Technical Skills: Extensive knowledge of cloud services and tools (Azure & Databricks preferred), ), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure AI services, App Insights, and Azure OpenAI.

Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow

Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio is a plus).

Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight&Biases GitHub pipelines is a plus).

Advanced understanding of security, compliance, and ethical considerations in AI.

Desirable skills/knowledge/experience: Soft Skills: Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project.

Strong problem-solving abilities. Excellent collaboration & communication skills to report back complex findings in a clear, structured manner.

Certifications: Relevant certifications in AI and machine learning such as Azure AI Engineer Associate are a plus.

TPBN1_UKTJ

Job Title: Principal Pricing Analyst

Locations: This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough.

Role Overview

Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department.

Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers.

Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times.

You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload.

As a Principal Pricing Analyst, you will use your advanced analytical skills to:

• Be a key stakeholder influencing the direction & outcome of projects
• Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions
• Provide thought leadership on optimisation and modelling concepts
• Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department
• Lead the development of the Groups pricing capability
• Query large databases to extract and manipulate data that is fit for purpose
• Oversee and assist in the development and implementation of the market leading methodologies you’ve identified
• Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved

Key Skills and Experience:

• Previous experience within general insurance pricing
• Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
• Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
• A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
• Experience of WTW’s Radar software
• Proficient at communicating results in a concise manner both verbally and written

About us

Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.

Responsibilities

• Research and analyse trading outcomes to assess effectiveness of execution strategies
• Build and refine quantitative models to improve algorithmic trading performance
• Implement elements of trading logic in Python and work closely with engineering teams
• Partner with clients to explain model behaviour, review performance and gather feedback
• Support clients in an execution consulting capacity to optimise use of trading products

Key Skills & Experience

• Strong quantitative mindset with passion for data and research
• Strong Python development skills (Java exposure beneficial but not core)
• Experience with electronic trading strategies and market microstructure
• Knowledge of European equities markets
• Exposure to distributed systems and large-scale data analysis desirable
• Excellent communication skills; able to work with global teams and clients
• High-frequency trading experience advantageous

Permanent role - Central London based - hybrid working

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

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

34,000 - 38,000 + benefits

Full Time / Permanent

Tamworth

The Company

Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team.

This is primarily an office based role based at the head office in Tamworth, West Midlands.

The Role

The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central.

The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company.

Key Responsibilities

• To model datasets and provide data-driven insights to drive business recommendations.
• To work with internal and external stakeholders to understand and document their requirements.
• To present and report results of your analysis in accessible and appealing formats, using relevant visualisations.
• To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement.
• To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others.
• To work with and support the Development team in supporting end users and providing data to their requirements.

Skills and Experience

• At least 1+ year commercial experience working in a similar Junior Data Scientist, Data Engineer or Data Analyst position.
• Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central .
• Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement.
• Knowledge of different forms of data visualisation and interaction.
• The ability to communicate effectively with internal and external stakeholders.
• Competent in carrying out hypothesis testing & knowledge of statistical methods.
• Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience

Please apply via the link or contact (url removed) for more information.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Salary: National Living Wage

Be you

Be empowered

Be a Transport for Wales Apprentice

Business Data Analytics Apprentice   Apprenticeship

Contract type: this is a 3-year fixed-term contract

*\ Note: You must hold the relevant right to work in the UK for the duration of the Apprenticeship Academy. We are not currently able to provide sponsorship.*\

Our Apprenticeship Academy

Whether you’re making your first transition into employment or changing careers and would like the opportunity to gain further qualifications without following the traditional educational route, an apprenticeship with us could be just the ticket to help you achieve your career goals and aspirations.

We firmly believe that everybody deserves opportunities to access apprenticeships and our aim is moving towards a diverse organisation at all levels. We want to be fully representative of our diverse communities across Wales.

The Role

The Data Analytics Apprentice will develop core analytical, technical, and reporting skills while contributing to improvements in business performance and data-driven practice, whilst undertaking a professional qualification in line with their programme to support their development.

Role responsibilities

• Assist in producing and maintaining business reports and analytics dashboards by using data tools and reporting systems to compile, validate, and present accurate information for stakeholders, to enable informed decision-making and improve organisational performance through reliable insights.

• You’ll support in increasing colleague understanding of how data-driven approaches can enhance work, by sharing reports, visualisations, and insights and through explaining trends and patterns in accessible ways, to empower teams to make evidence-based decisions that improve financial and operational outcomes.

• Contribute to building and analysing datasets and monitoring KPIs, by assisting in data collection, cleaning, and through interpretation and collaborating on system improvements, to ensure accurate performance tracking and support continuous improvement across initiatives.

• You’ll help to maintain the consistency and compliance of data processes and interactions, by following organisational standards and frameworks, to achieve intended results aligned with the organisation’s strategic direction and ensure data integrity.

Who we’re looking for

• The ability to manage multiple tasks and meet deadlines.

• Experience of using Microsoft Office Word, Excel and PowerPoint.

• Ability to interpret data and identify trends

• Problem-solving skills.

• Pass the testing within the initial application process. This testing is used to uncover alignment to our values, behaviour and core apprentice attributes, all of which can be found above.

• You’ll need to be available to start the Apprenticeship Scheme in early September 2026.

*Please include all your relevant qualifications as listed in the essential and desirable criteria for the role. We won’t be able to consider your application otherwise.

Is it right for me?

To help you decide, have a think if these apply to you.

• Most of our apprenticeships are open to anyone over the age of 16 and there’s no upper age limit.  Please note that for safety critical roles the minimum age will be higher.

• You must not have already achieved a similar or higher-level qualification in the apprenticeship role you have applied for. For example, if you have a degree in Engineering, you will not be eligible to apply for an Engineering apprenticeship. However, you could apply for another apprenticeship in a different profession, such as Finance.

• You will not be eligible for an apprenticeship if you are enrolled in/studying towards another qualification, as the apprenticeship is a full-time role with study commitments.

Welsh Language Skills

While not essential for this role, Welsh language skills would make a great addition to your application.

TfW support anyone who wants to learn Welsh or improve their skills. We offer online learning, classroom courses and funding attendance at local community courses.

Equal Opportunities

We’re changing the way the transport industry looks. By celebrating and embracing differences, we’re building a workforce that represents Wales. We need talented people from all backgrounds and cultures to bring their perspectives and experiences. Diverse teams make better decisions and drive innovation. Join us in transforming the way Wales travels."

Who we are

Transport for Wales is changing the way Wales travels, making sustainable transport the first choice. We’re building a multimodal integrated transport network called the T Network, making it easier for people to travel by train, bus, walking, wheeling and cycling.

Next steps

See attached Job Description for further details and how to apply. If you want to find out more about what we’re doing in Wales, see our  Annual Report.

Once you’ve submitted your application, we’ll invite you to a friendly and relaxed assessment day, followed by a final interview.

We’re a Disability Confident Leader. Let us know about any reasonable adjustments you may need in the recruitment process and as part of the role if you are successful.

This advert will close at 23:59 on the day of the application closing date stated above.

However, we reserve the right to close this vacancy early if we receive enough applications. We encourage you to submit your application as early as possible.

At TfW, we’re looking to see your skills, potential, and enthusiasm. While we fully support the use of AI as a tool for learning, we want to assess applicants based on their own abilities. Therefore, applications must be completed without AI assistance. If AI content is identified, unfortunately, we won’t be able to consider the application.

Salary: National Living Wage

Be you

Be empowered

Be a Transport for Wales Apprentice

Commercial Analytics Apprenticeship

Contract type: this is a 3-year fixed-term contract

*\ Note: You must hold the relevant right to work in the UK for the duration of the Apprenticeship Academy. We are not currently able to provide sponsorship.*\

Our Apprenticeship Academy

Whether you’re making your first transition into employment or changing careers and would like the opportunity to gain further qualifications without following the traditional educational route, an apprenticeship with us could be just the ticket to help you achieve your career goals and aspirations.

We firmly believe that everybody deserves opportunities to access apprenticeships and our aim is moving towards a diverse organisation at all levels. We want to be fully representative of our diverse communities across Wales.

The Role

The Commercial Analytics Apprentice will rotate across relevant business areas, in order to develop a broader understanding of operational activity and requirements. The Commercial Analytics Apprentice will use data to help the organization understand performance and make better business decisions.

Role responsibilities

• Support the delivery of commercial revenue targets by contributing to data analytics projects by gathering data, performing analysis, and presenting actionable recommendations to stakeholders to provide insights into revenue performance, identify trends, and inform decision-making.

• Support the commercial insight and analytics team to maintain and improve data quality by validating data, keeping sources updated, and creating automated pipelines where appropriate to ensure reliable, accessible data for accurate insights and efficient decision-making.

• Deliver data-backed recommendations to the commercial team by managing and responding to ad-hoc business requests using analytics that will provide actionable insights that support informed decisions and business performance.

• Maintain up-to-date, detailed documentation for all utilised data sources by regularly updating and organising documentation so it can be shared internally or externally as required to provide accurate, accessible information for stakeholders and support effective data usage.

Who we’re looking for

• High attention to detail.

• Excellent time management and organisational skills.

• Experience of presenting to a variety of audiences.

• Experience of using Microsoft packages.

• Ability to collaborate within a team and with external stakeholders.

• Pass the testing within the initial application process. This testing is used to uncover alignment to our values, behaviour and core apprentice attributes, all of which can be found above.

• You’ll need to be available to start the Apprenticeship Scheme in early September 2026.

*Please include all your relevant qualifications as listed in the essential and desirable criteria for the role. We won’t be able to consider your application otherwise.

Is it right for me?

To help you decide, have a think if these apply to you.

• Most of our apprenticeships are open to anyone over the age of 16 and there’s no upper age limit.  Please note that for safety critical roles the minimum age will be higher.

• You must not have already achieved a similar or higher-level qualification in the apprenticeship role you have applied for. For example, if you have a degree in Engineering, you will not be eligible to apply for an Engineering apprenticeship. However, you could apply for another apprenticeship in a different profession, such as Finance.

• You will not be eligible for an apprenticeship if you are enrolled in/studying towards another qualification, as the apprenticeship is a full-time role with study commitments.

Welsh Language Skills

While not essential for this role, Welsh language skills would make a great addition to your application.

TfW support anyone who wants to learn Welsh or improve their skills. We offer online learning, classroom courses and funding attendance at local community courses.

Equal Opportunities

We’re changing the way the transport industry looks. By celebrating and embracing differences, we’re building a workforce that represents Wales. We need talented people from all backgrounds and cultures to bring their perspectives and experiences. Diverse teams make better decisions and drive innovation. Join us in transforming the way Wales travels."

Who we are

Transport for Wales is changing the way Wales travels, making sustainable transport the first choice. We’re building a multimodal integrated transport network called the T Network, making it easier for people to travel by train, bus, walking, wheeling and cycling.

Next steps

See attached Job Description for further details and how to apply. If you want to find out more about what we’re doing in Wales, see our  Annual Report.

Once you’ve submitted your application, we’ll invite you to a friendly and relaxed assessment day, followed by a final interview.

We’re a Disability Confident Leader. Let us know about any reasonable adjustments you may need in the recruitment process and as part of the role if you are successful.

This advert will close at 23:59 on the day of the application closing date stated above.

However, we reserve the right to close this vacancy early if we receive enough applications. We encourage you to submit your application as early as possible.

At TfW, we’re looking to see your skills, potential, and enthusiasm. While we fully support the use of AI as a tool for learning, we want to assess applicants based on their own abilities. Therefore, applications must be completed without AI assistance. If AI content is identified, unfortunately, we won’t be able to consider the application.

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we’re building a community committed to safeguarding a safer and more connected world.

This Senior Data Scientist & Machine Learning Researcher is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.

Responsibilities

• Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
• Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines.
• Undertake research and applied AI/ML tasks on both customer and internal research projects.
• Provide technical leadership in small project groups.
• Generate ideas for new research directions.
• Advise on suitability of group research ideas based on previous experience.
• Mentor more junior team members within their project team and the wider SRG.
• Deliver AI/ML/Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.

Required Skills & Experience

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
• Have an established track record of delivering ML solutions to customers and internal stakeholders.
• Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.
• Experience of training and developing AI models including Large Language Models.
• Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications.
• Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.

Desirable Skills & Experience

• Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs / Docker)
• Working knowledge of Linux systems, using basic commandline functionality
• Experience of deploying AI models in a scalable way for external users.
• Experience working with cloud services
• Experience of writing technical project proposals.

Benefits

• 25 days holiday + statutory public holidays, plus opportunity to buy / sell up to 5 days
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary)
• 6 times salary Life Assurance
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

Work Culture

• 37hr working week, with an early 1.30pm finish Friday
• Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role
• Flexible working culture that is output, not time spent at desk, focused. Formal flexible working arrangements can also be requested.
• Up to 5 paid days volunteering each year

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

Our Principal Data Scientist & Machine Learning Researcher sits within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development.

Hybrid role: 3 days a week at our site(s) or customer site min

Must be eligible and willing to gain SC & eDV clearance

Responsibilities

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage in across our customer community.
• Work with autonomy to develop complex, novel data science solutions.
• Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI/ML/Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Required Skills & Experience

• Strong experience of delivering novel ML solutions to customers and internal stakeholders
• Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment
• Experience of appropriate version control and environment management (such as venvs or Docker)
• Experience of writing technical project proposals
• Experience of managing teams either line management or technically
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature
• Experience of training and developing AI models including Large Language Models
• Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications
• Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions

Desirable Skills & Experience

• Experience of deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
• Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd)
• Experience working in Cloud services

Benefits

• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary)
• 6 times salary Life Assurance
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
• Private Medical Insurance (dependant on grade)

Work Culture

• 37hr working week, with an early 1.30pm finish Friday
• Flexible working culture that is output, not time spent at desk, focused. More formal flexible working arrangements can also be requested.
• Up to 5 paid days volunteering each year

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

Software Simulation Engineer

Redditch, UK

12 months +

Work Experience

• Bachelors or Masters degree in Computer Science ./Industrial Engineering
• Experience: Minimum 37 years of relevant experience in supply chain simulation, industrial engineering, or discrete event simulation.
• Simulation Software/ Tools : Proficiency in specialized software such as FlexSim, AnyLogic, .ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
• Programming: Strong scripting skills (Python, R) for data analysis and automating simulation tasks.
• Programming Languages: Proficiency in Python (scientific computing), C++ (high-performance tasks), and MATLAB/R for data analysis and mathematical modeling.
• Domain Knowledge: Solid understanding of warehousing automation technologies (AGVs, sorters, AS/RS).
• WMS Knowledge: Familiarity with WMS systems.
• Simulation Tools: Experience with industry-specific software such as ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
• Experience with CAD tools (e.g., AutoCAD) for layout creation.

Job Requirements

• The Simulation Engineer will develop, validate, and analyze discrete-event simulation models of warehouse facilities, incorporating automation, conveyors, and WMS software. The goal is to identify bottlenecks, improve efficiency, and validate operational scenarios before implementation.
• Modeling & Simulation: Design and build 3D simulation models of distribution centers and warehouse logistics using software like FlexSim, Simio, or AnyLogic.
• Data Analysis & Validation: Analyze operational data (e.g., order profiles, inventory levels, stock audit ) to validate simulation models, ensuring they accurately represent real-world operations.
• Process Optimization: Conduct experiments to identify bottlenecks, test “what-if” scenarios, and optimize resource requirements (staffing, automated equipment).
• WMS Integration: Simulate interactions between physical equipment (AGVs, ASRS, conveyors) and warehouse software systems (e.g., SAP EWM, Manhattan Associates).
• Documentation & Reporting: Create detailed technical reports and visualizations (Tableau, R) to present findings to stakeholders and support data-driven decision-making.
• Cross-Functional Collaboration: Collaborate with engineering and operations teams to integrate simulation results into final warehouse designs.

Job Title: Technical Pricing Manager

Location: A large potion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local.

Role purpose

We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches.

You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output.

Key Responsibilities

• End to end production of pricing models using a tailor-made pricing pipeline
• Use of Earnix to build predictive statistical models and intelligently optimise customer prices
• Contribute and implement improvements to the pricing process to increase pricing performance and efficiency
• Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies
• Evaluate and utilise tools and data items created by the data science teams
• Ensure all activity is compliant with pricing governance and follows established controls
• Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
• Manage, mentor and coach more junior members of the team

About you:

• Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject
• Experience in a pricing or actuarial role within general insurance
• Experience with price optimisation tools (Earnix/Radar)
• Experience using and implementing advanced machine learning methods
• Able to communicate complicated statistical concepts to an informed but non-technical audience
• Experience with using software packages such as R or Python to solve problems
• Proven ability to deliver commercial value through pricing insight
• Proven ability to provide commercial uplift from research and development projects
• Strong people management skills

Principal Pricing Analyst - Insurance, Manchester based role, hybrid working 2-3 days
£Competitive Salary & package
Job Reference - J13045

Please note: Applicants must have full eligibility to work in the UK. Unfortunately, visa sponsorship is not available for this role.

Shape the Future of Pricing Strategy
Our client is in the midst of an exciting transformation. Their Pricing & Analytics team is expanding rapidly as they invest in cutting-edge tools, technology, and top-tier talent. They’re breaking away from traditional pricing approaches and building innovative, data-driven models from the ground up.

This is a rare opportunity to join a leading UK employer at a pivotal moment- where you can make a real impact, help define strategy, and play a key role in shaping the future of pricing.

The Role
As a senior member of the team, you’ll take ownership of high-profile pricing projects that drive customer value, optimise risk, and deliver sustainable profitability. You’ll be a trusted advisor to the business- guiding pricing strategy, mentoring Analysts, and ensuring commercial success is balanced with fair and positive customer outcomes.

What You’ll Do
Lead the end-to-end delivery of high-impact pricing and optimisation initiatives
Use advanced modelling and scenario analysis to assess customer responses to price changes
Identify opportunities to improve customer lifetime value and retention
Track competitor activity and market trends to shape strategic direction
Champion fair value in all pricing decisions, particularly for existing customers
Drive improvements in data quality, processes, and trading performance
Build strong, influential relationships across teams and with senior leadership

What We’re Looking For
Substantial experience in insurance pricing, ideally in a senior or leadership capacity
Strong numerical and analytical background (degree-level or equivalent quantitative expertise)
Proven expertise in predictive modelling for risk and/or demand
A track record of solving complex problems and taking initiative
Experience leading or coordinating project teams
Proficiency with analytical tools such as Python, SQL, R, or SAS (desirable)
Knowledge of machine learning techniques and statistical methods used in insurance

We may close this advert early due to high interest-if you’re keen to join us, please apply soon.

Your new company Working for a globally renowned consultancy (end client is a public sector organisation). Your new role We are offering an exciting opportunity for a Data Scientist to join our expanding AI delivery team. In this role, you will work hands-on as an AI engineer, data scientist, and developer, contributing to the design and delivery of strategic AI initiatives. You'll help build intelligent solutions, automate processes, and apply modern AI technologies to real business challenges within a public sector environment. What you'll need to succeed Must have lived in the UK for a minimum of 5 years (essential for security clearance checks). Experience with key AI platforms and tools, including: Microsoft Copilot / Copilot Studio Experience configuring or building AI-driven workflows, copilots, or automation solutions. Familiarity with prompt design, data integration, and governance within the Microsoft ecosystem is beneficial. AWS Bedrock Hands-on experience using Bedrock to access and apply foundation models for tasks such as text generation, summarisation, classification, or search. Understanding how to integrate Bedrock models into wider AWS services is advantageous. IBM ICA (Intelligent Content Analysis) - Desirable Useful experience with document understanding, processing unstructured data, and rule‑based or AI‑assisted content analysis. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Ready to start your career as a Data Analyst?

The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.

Why this programme matters

We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.

What you’ll get:

• Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
• Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
• Real-world project work to enhance your CV and show our end employers you can deliver.
• Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.

Your investment:

• Course cost: £2,795
• Payment plan: From £232.91 per month (interest-free)

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Job Specification: Data Scientist – Pricing Modelling (Sport) Overview We are seeking a highly skilled Data Scientist with proven experience in pricing modelling within the sports industry. The ideal candidate will be responsible for building, optimising, and deploying data-driven pricing models that help maximise revenue, improve forecasting accuracy, and support strategic commercial decisions. This role will work closely with commercial, product, finance, and analytics teams to deliver impactful insight and pricing recommendations. Key Responsibilities Pricing Modelling & Analytics - Develop, own, and optimise dynamic pricing models across sports products (tickets, memberships, hospitality, broadcasting, merchandise, or gaming—depending on organisation). - Build predictive models for demand forecasting, elasticity analysis, and customer behaviour. - Run simulations and scenario modelling to guide pricing strategy. - Maintain model accuracy through performance monitoring, retraining, and back-testing. Data Science & Engineering - Work with large datasets from multiple sources including ticketing systems, CRM data, sales systems, attendance data, and third-party partners. - Build robust data pipelines and ensure high data quality and reproducibility. - Deploy models into production environments (e.g., via APIs, automated workflows, or BI tools). Insight & Strategy - Translate modelling outputs into clear commercial recommendations for non-technical stakeholders. - Present findings to senior leadership, supporting decision-making with evidence-based insight. - Collaborate with marketing and commercial teams to understand demand drivers and pricing levers. - Evaluate the impact of pricing changes and provide post-event analysis. Innovation - Explore new modelling techniques such as reinforcement learning, dynamic optimisation, or real-time price adjustment. - Stay current with trends in sports analytics, pricing science, machine learning, and demand forecasting. Required Skills & Experience - 3+ years in data science, analytics, or econometrics roles (pricing strongly preferred). - Strong experience with pricing models, demand forecasting, price elasticity, or dynamic pricing algorithms. - Proficiency in Python (Pandas, NumPy, Scikit-Learn; bonus: PyTorch/TF). - Experience using SQL and working with relational databases or cloud data warehouses. - Solid statistical knowledge: regression modelling, time series forecasting, Bayesian methods, optimisation techniques. - Experience deploying models to production (e.g., Docker, cloud platforms, CI/CD pipelines). - Ability to design and interpret A/B tests or controlled experiments. - Excellent stakeholder communication skills, especially with commercial teams. Desirable Skills - Experience in the sports industry (ticketing, memberships, fan behaviour, sports betting, E-commerce). - Familiarity with sports-specific datasets or pricing environments. - Knowledge of BI tools (e.g., Looker, Power BI, Tableau). - Understanding of revenue management principles (yield management, inventory controls). - Background in applied mathematics, economics, statistics, or a related field. Personal Attributes - Commercially minded with a passion for applying data science to real business problems. - High attention to detail with strong analytical rigour. - Able to manage multiple projects and work in fast-paced environments. - Curious, proactive, and comfortable challenging assumptions with data. What We Offer - Opportunity to shape a cutting-edge pricing strategy in a high-growth sports environment. - Close collaboration with data engineers, analysts, commercial teams, and leadership. - A culture that values experimentation, innovation, and data-driven decision making. - Professional development opportunities across data science, engineering, and sports analytics.

Senior Machine Learning Engineer - Data Science Focus

Based in London (Hybrid - 2 days onsite)

Permanent, Full-Time

Salary: Up to 95,000 (depending on experience)

We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you’ll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning.

You’ll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you’re passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you.

Role and Responsibilities

• Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods).
• End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies.
• Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications.
• Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS.
• Model governance: Apply best practices for evaluation, drift monitoring, and compliance.
• Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions.

Key Skills and Experience

• Master’s degree in a STEM or quantitative discipline (PhD nice to have).
• 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI).
• Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation.
• Production-grade Python proficiency and ability to write clean, maintainable code.
• Comfortable with complex SQL queries.
• Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified.
• Experience with Docker and Kubernetes in production environments.
• Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable.
• Strong communication skills and ability to explain technical concepts clearly.

Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

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

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

Your new company
One of the large Public Sector Organisations in the UK
Your new role
Data Modeller - Excel Calculator
What you’ll need to succeed
My client is looking for a Data Modeller to support across a 4-week period before the end of the Financial Year - the role will entail developing two user-friendly Excel-based calculators:

• Excel calculator development
• Develop two user-friendly, Excel-based calculators for quantifying the nutrient reductions (in nitrogen and phosphorus) generated by:
• Land Use Change - the conversion of land from uses associated with high nutrient exports (intensive agriculture) to uses associated with low nutrient exports (semi-natural greenspace).
• Septic tank and PTP Upgrades - upgrading inefficient septic tanks or PTPs to more efficient PTP models. Natural England will provide a draft version of this calculator to be updated.
• Use input datasets that have been provided by Natural England. These will include nutrient export coefficients derived from Farmscoper, soil type, and rainfall.
• Provide precautionary nutrient reduction estimates (in kg of total nitrogen and total phosphorus/ha/year) based on a methodology specified by Natural England.
• Ensure the calculators enable changes to input datasets that can be administered by Natural England in the future.
• Written technical methodology
• Document the methodology for calculating the nutrient reductions generated by the two measures in a format that ensures reproducibility by Natural England.
• Detail all assumptions, limitations, and uncertainties.
• User instructions
• Write a set of clear user instructions to accompany each calculator that:
• Provide step-by-step guidance for the user to input site-specific information.
• Explain technical terms in plain, accessible language.
• Follow Natural England’s accessibility requirements.

By the end of the four-week period, the Data Analyst will provide:

• One calculator for quantifying the nutrient reductions generated by land use change.
• One updated calculator for quantifying the nutrient reductions generated by septic tank and PTP upgrades.
• Each calculator will be accompanied by:
• Clear, step-by-step user instructions that meet Natural England’s accessibility standards.
• Technical methodology to ensure reproducibility by Natural England. Including assumptions, uncertainties, and limitations.

What you’ll get in return
This is a 4-week remote engagement for someone to set up Excel Calculators, aiding the new FY.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

Leicester
£35,000-£40,000 per year
Monday to Friday Full-Time

I am excited to be exclusively partnering with a fast-growing energy consultancy based in Leicester, who are seeking a Data Analyst to join their expanding team. This is a fantastic opportunity to work in a business that invests heavily in technology, systems, and infrastructure to support data-driven decision-making.

The Opportunity

The successful Data Analyst will play a key role in turning complex data into actionable insights that directly support the sales and operational teams. This role offers a competitive salary of £35,000-£40,000 per year, with opportunities to make a measurable impact on the company’s performance and growth.

Why This Role Stands Out Data-Driven Environment

• Work closely with Energy Consultants and management to optimise processes
• Analyse performance metrics, trends, and KPIs to inform strategy
• Translate complex datasets into clear and actionable insights

Excellent Tools and Support

• Access to bespoke in-house systems and AI-integrated tools
• Work alongside dedicated admin and compliance teams
• Structured onboarding and continuous professional development

Modern Office Environment

• Freshly refurbished, collaborative office space designed for productivity
• Positive, high-energy workplace culture
• Opportunities to collaborate across teams and influence business decisions

Career Progression

• Clear opportunities to progress within the business
• Exposure to multiple business functions and analytics-driven projects
• Work in a company that values skill development and long-term career growth

Key Responsibilities

• Collecting, cleaning, and analysing data from multiple sources
• Generating reports and dashboards to support operational and sales teams
• Identifying trends, anomalies, and insights to improve business performance
• Collaborating with stakeholders to support decision-making
• Maintaining data integrity and ensuring compliance with internal standards

The Ideal Candidate

• Experienced in data analysis, reporting, or business intelligence
• Proficient in Excel and analytical tools (Power BI, SQL, or similar)
• Strong attention to detail and problem-solving skills
• Confident communicator, able to translate insights to non-technical teams
• Ambitious and keen to contribute to a growing business

This Data Analyst role is an excellent opportunity to join a supportive, technology-driven business where your work will have real impact on growth and strategy.

Next Steps: Apply to this Data Analyst role through this advert. If you would like more information about this role, please contact our commercial team on (phone number removed). If successful, you will need to digitally register with our agency (if you haven’t already done so). If you have not been contacted regarding your application within 7 days please assume that you have not been successful. We will however retain your application for any future roles for which you may be suitable. About Regional Recruitment Services - A Recruitment Agency in Leicester. This position is advertised by Regional Recruitment Services Ltd, an award-winning independent recruitment agency that has been operating since 2008. We offer permanent, temporary and contract jobs within the Commercial, Construction, Industrial and Engineering sectors. To view all of our positions available throughout the United Kingdom, please visit our website url removed .