1,286 Data Science jobs in the United Kingdom

Senior Data Science Manager

Brighton - 1 day a week

Up to £100,000

About the Role

We are working with an innovative organisation that has developed a next-generation GenAI product, with thousands of users engaging in rich conversations daily. This is a unique opportunity to shape and lead the Data Science function at the heart of a high-growth, AI-driven product.

As Senior Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery.

This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing to be hands-on with the technical challenges that come with scaling AI at speed.

Key Responsibilities

• Leading, mentoring, and growing a team of Data Scientists, fostering a high-performance and collaborative culture.
• Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions.
• Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices.
• Acting as a subject matter expert internally and externally, including with key customer stakeholders.
• Translating business requirements into robust technical solutions, ensuring alignment across teams.
• Promoting strong data governance, documentation, and observability across systems.
• Staying ahead of industry trends and introducing new technologies and methods into the team.

What We’re Looking For

• Proven experience managing and mentoring data science teams.
• Strong track record delivering impact in a senior data science role.
• Deep understanding of machine learning model lifecycles and optimisation.
• Skilled in building, training, and deploying models on large datasets.
• Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks.
• Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure.
• Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
• A collaborative, curious, and pragmatic mindset, with a passion for solving complex problems.

**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization. 
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**More about this role**
**What you need to know about this position:**
**What extra ingredients you will bring:**
**Education / Certifications:**
**Job specific requirements:**
**Travel requirements:**
**Work schedule:**
**Relocation Support Available?**
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet

Our client, a forward-thinking analytics firm, is excited to offer a Data Science Graduate an internship opportunity to kickstart their career in a dynamic and supportive environment. This role, based in Nottingham, Nottinghamshire, UK , offers a hybrid working model, providing a valuable mix of in-person mentorship and remote project work. We are looking for bright, motivated individuals with a recent degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.

As a Data Science Graduate Intern, you will work closely with our experienced data science team on real-world projects. Your responsibilities will include data collection, cleaning, and preprocessing; exploratory data analysis to identify trends and patterns; building and testing predictive models; and assisting in the visualization and interpretation of data insights. You will gain hands-on experience with various data science tools and programming languages, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R, as well as SQL for database management. Opportunities to learn about machine learning algorithms, statistical modeling techniques, and data storytelling will be provided.

We require strong analytical and problem-solving skills, a keen eye for detail, and a genuine passion for data. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. This internship is designed to provide comprehensive training and exposure to the entire data science workflow. It is an ideal stepping stone for graduates seeking to build a successful career in data science, offering the chance to contribute meaningfully to projects and develop a robust professional portfolio. We value curiosity, eagerness to learn, and a collaborative spirit.

Our client is offering an exceptional opportunity for a driven and curious individual to embark on a career in Data Science through a fully remote apprenticeship program. This role is designed for someone with a passion for technology and a keen analytical mind, eager to learn and contribute to cutting-edge data projects. As a Data Science Apprentice, you will work alongside experienced data scientists and analysts, gaining hands-on experience in collecting, cleaning, analysing, and interpreting complex datasets. You will be trained on various data science tools and techniques, including machine learning algorithms, statistical modelling, and data visualization.

The apprenticeship will provide a structured learning path, combining on-the-job training with formal study towards a recognised qualification. You will be involved in developing predictive models, building dashboards, and extracting actionable insights that drive business decisions. This position requires excellent problem-solving skills, a strong attention to detail, and the ability to work independently and collaboratively in a virtual team environment. You will be expected to contribute ideas, ask questions, and actively participate in team discussions and project meetings. A foundational understanding of mathematics and statistics would be advantageous, as would basic programming knowledge (e.g., Python, R), though comprehensive training will be provided. This is a fantastic stepping stone for anyone aspiring to a career in data analytics or data science, offering practical experience and professional development in a supportive, remote-first setting.

Responsibilities:

• Assist in data collection, cleaning, and preprocessing from various sources.
• Support data analysis and interpretation to identify trends and patterns.
• Learn and apply machine learning algorithms and statistical models under guidance.
• Contribute to the development of data visualizations and reports.
• Participate in team meetings and project discussions.
• Collaborate with senior data scientists and analysts on ongoing projects.
• Undertake formal study as part of the apprenticeship program.
• Assist in evaluating the performance of data models and algorithms.
• Maintain accurate documentation of data processes and findings.
• Develop a strong understanding of data ethics and governance.

Qualifications:

• Minimum of 5 GCSEs at grade C/4 or above, including Maths and English, or equivalent qualifications.
• Strong analytical and problem-solving abilities.
• Interest in data, technology, and mathematics.
• Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
• Excellent communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Team player with a positive attitude.

This apprenticeship is based in Oxford, Oxfordshire, UK , but is fully remote.

Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.

Who we are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.

What we offer

• Interact with our clients on regular basis, to drive their business towards impactful change.

• Work in multidisciplinary teams and learn from motivated colleagues.

• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

• Become part of a fast growing international and diverse team.

What You Will Do

• Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.

• Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.

• Communicate analyses via compelling presentations.

• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.

• Prepare and facilitating workshops.

• Manage stakeholders and communicating with executives.

• Coach and mentor team members.

What you'll bring

• 3-5 years of professional work experience in the analytics domain.

• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).

• Ability to talk the language of statistics, finance, and economics a plus.

• Profound knowledge of the English language.

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

About Low Carbon

Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.

Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.

All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.

We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.

Role Description

The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.

In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.

For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals

Key Responsibilities

Working with other interns and project mentors, you will:

• Use Data Science to help solve a specific, live business challenge at Low Carbon
• Frame and structure practical solutions to challenging business problems
• Work in Agile Sprints to iteratively design, test and run trial solutions
• Present findings and key recommendations to senior stakeholders

Person Specification

• Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
• A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
• Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
• An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
• Energetic, reliable, adaptable and used to using their initiative
• A friendly, approachable and professional manner

Skills & Experience

• Practical experience of Programming in Python
• Demonstrable Data Science project experience (inside or outside classroom)
• Sound knowledge of fundamental statistical concepts
• Excellent problem-solving ability
• Ability to communicate results and present findings to a variety of stakeholders

Our Compensation & Benefits

• Competitive salary
• 26 days holiday + your birthday off (pro-rata for the duration of your internship)
• Lots of office social events
• Working in newly fit-out offices in Central London
• Get to work with an experienced, talented team of renewable energy professionals
• Be a part of a dynamic, entrepreneurial mission driven culture
• Make your unique contribution to the fight against climate change

Director (Data Science) - Glasgow Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation

About Capgemini Invent

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

YOUR ROLE

As a Director in our Analytics & AI practice you will be responsible for new business and selling data science opportunities. You will play a leadership role across our AI, data science and analytics capabilities; shaping our strategy, defining our ambition and developing junior members of the team.

In this role you will play a key role in:

• Working as part of the Capgemini Invent A&AI leadership team to grow our practice and develop our offers
• Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses
• Helping clients embed data science solutions and use insight to optimise and automate business decision making at scale
• Selling, leading and managing large delivery programmes with data science and Gen AI at the core
• Inspiring our data science consultants to develop their technical capability and champion data science delivery excellence
• Creating thought leadership and new propositions that reflect Capgemini Invent’s position as a leading AI, data science and analytics consultancy

As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

• Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
• Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
• Learning & development – Training to support your career development and the skills demand within the company, certifications etc.

YOUR PROFILE

• Good existing relationships with Senior Executives of large organisations in the UK, focussed on the areas responsible for AI, Data Science and Analytics
• Experience of shaping the AI or data science services and solutions that deliver the client’s vision, integrated across technology and business functions
• A deep understanding of trends in the AI, data science or analytics market and how these are changing
• Experience in the business application of Gen AI and other AI solutions, for example customer experience, process optimisation, intelligent automation, workplace efficiency, asset management or intelligent search  

• Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
• Experience of proposition building and delivery.
• Business development – utilising a combination of the organisation’s broader pre-existing relationships, company relationships and your own network, you’ll be generating c.£2m of consulting revenues

NEED TO KNOW

At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.

CSR

We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about.  In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.  When you join Capgemini, you’ll join a team that does the right thing.

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

We are seeking a highly skilled Head of Data Science to lead our growing team of data scientists and analysts. This is a pivotal role, shaping how we use advanced analytics, predictive modelling and data-driven insight to inform decision-making across the SRA. You will set the strategic direction for the team, ensuring that their work underpins our regulatory priorities and helps us deliver meaningful impact in the legal services sector.

What's in it for you

• Work in a rapidly evolving sector, offering an exciting opportunity to showcase and implement innovative ideas
• Support the regulation of the legal profession, protecting and promoting the public interest, and help shape and implement our responses to new challenges
• Showcase your technical, and leadership skills - leading a dedicated team of data scientists and data analysts

The role

As Head of Data Science, you will be responsible for planning and delivering the team's contribution to our business plan and strategic priorities. You will provide expert technical leadership, guiding the design and application of advanced statistical and machine learning techniques, while ensuring outputs are of the highest quality and relevance. A key part of your role will be to translate complex analysis into accessible insights that support evidence-led regulatory decisions.

Collaboration will be central to the role. You will work closely with colleagues across the organisation and with external stakeholders, building strong partnerships to maximise the impact of our analytical work. You will play an important role in identifying opportunities where data science can add value, helping to manage risk, and producing clear, persuasive outputs that inform decisions at the highest level.

You will also focus on developing and enhancing the capability of the team. By providing coaching, mentoring and technical leadership, you will create an environment where colleagues are supported to grow, encouraged to innovate, and empowered to deliver their best work. You will foster a culture of inclusivity, responsiveness and high performance, ensuring the team continues to deliver against strategic priorities.

What we are looking for

• Degree or equivalent experience in statistics, social science, physics or other relevant discipline, coupled with research experience or post-graduate qualification in quantitative discipline
• Expert use of standard statistical tools e.g. R/Python and relevant associated libraries
• Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs.
• Ability to produce reasoned, defensible analysis that can be relied upon to determine regulatory action, and the allocation of regulatory resources
• Demonstrable leadership capabilities, including technical guidance of skilled professionals and driving performance development

Useful and additional information

Full Role Profile can be found at the bottom of the advert on our website.

We operate on a hybrid working model which means working 2 days in the office and the rest of the week from home. The role can be based from any of our Birmingham, London or Cardiff offices. The role will require regular travel to both the London and Birmingham offices where Data Science and many of the key stakeholders are based. The salary range we offer for this role is £64,000 - £70,000 depending on relevant knowledge, skills and experience. A 10% London weighting will apply to the salary if applicable.

If you have any questions that are not answered in the advert or on our website, or would like to have a confidential chat you can contact us via: .

To apply

Please click 'apply' to complete the online application form and upload a CV and cover letter, addressing how you meet the requirements of the role. Your Cover Letter should be no longer than 2 pages.

To find out more about the recruitment and selection process and how to make the most of your application, please visit our jobs pages.

Closing date for applications is 13 October 2025.