Data Scientist

NFU Mutual; Stratford-upon-Avon; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Salary up to £70,000

Annual bonus

Contributory pension

25 days annual leave

Family Friendly policy

Gym membership contribution

Health and wellbeing plan

Employee discounts

Refer a Friend bonus

Job summary

NFU Mutual is seeking a Data Scientist to design, develop and deploy advanced analytical, ML and AI solutions across customer, claims, strategy and underwriting domains. You will own end-to-end analytics projects, translating business challenges into robust production-ready outputs in a hybrid role based in Stratford-upon-Avon.

You will work with stakeholders to deliver measurable value, applying statistics, experimentation and modern ML techniques while mentoring teammates and contributing to

Qualifications

• Extensive experience in data science, machine learning, advanced analytics or related discipline.

Responsibilities

• Design, build and deploy machine learning solutions across business domains.

Skills

Python

SQL

Data science

Statistical methods

Stakeholder management

Model deployment

Mentoring

Education

BSc or higher in quantitative field

Tools

Power BI

Tableau

Qlik Sense

Git

CI/CD

Azure

Snowflake

Databricks

Job description

Data Scientist Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value Take ownership of varied analytical projects and build your career within an established and growing Data Science team Hybrid 80% homeworking and 20% from Stratford Upon Avon

About the role

As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business stakeholders to understand challenges, translate them into analytical approaches, and deliver robust, production-ready solutions that create measurable value. You’ll be part of a team of four Data Scientists, including a Lead Data Scientist, within the wider Data Science and Analytics team. You’ll manage projects from initiation through to delivery, including requirements gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI / Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods and the data landscape develop. This is a full time role based in Stratford Upon Avon, with 80% homeworking and 20% of your hours based at the office. This role is based in our Tiddington Head Office, just outside Stratford Upon Avon. However, we understand how important a positive work life balance is, so to help you give your best, we offer great facilities when you want to be in an office environment and support to work up to 80% of your hours from home.

About you

You’re an experienced Data Scientist who combines commercial and customer focused thinking with a structured approach to delivery. You’re confident consulting with stakeholders, gathering requirements and presenting complex findings in a clear and accessible way. Comfortable working independently and collaboratively, you plan and prioritise effectively, take ownership of end-to-end projects and adapt your approach as needs, methods and technology evolve. To join NFU Mutual, you’ll also bring Extensive experience in data science, machine learning, advanced analytics or a related discipline, with experience managing analytical projects from initiation to delivery Strong Python and SQL skills, or significant R experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models Experience with modern business intelligence platforms such as Power BI, Tableau or Qlik Sense is desirable though not essential, Experience with unsupervised ML techniques such as clustering is desirable Cloud, basic data engineering and deployment experience is desirable including Git, continuous integration and delivery, automated testing and model deployment within platforms such as Azure, Snowflake or Databricks. Experience mentoring and coaching Data Scientists or analysts, helping to develop technical capability and sharing best practice across the team. Previous line management experience is welcomed but not required as this is a predominantly hands-on technical role.

Qualifications

A degree at Bachelor of Science level or higher in a quantitative subject such as Mathematics, Statistics, Physics, Economics, Computer Science or Data Science, or equivalent practical experience.

At NFU Mutual, we support an inclusive workplace and value all the differences that make us unique. We celebrate the creativity and innovation that comes from diverse perspectives and experiences and share a common vision of doing the right thing for our customers and employees. We recognise that some candidates may experience barriers during the recruitment process. So, we encourage candidates to discuss any adjustments or accommodations they need to be the best they can be throughout our recruitment process. We're proud to be a Disability Confident Employer, a Race at Work and Women in Finance Charter signatory and welcome applications from people of all backgrounds, regardless of age, ethnicity, disability, neurodiversity, gender, religion, marital status, sexual orientation, or socioeconomic background.

Benefits and Rewards

When you join our team,you can expecta supportive cultureandanattractive range ofrewards and benefitsincluding:

• Salary up to £70,000 dependent on experience
• Annual bonus (up to 17.5% of salary)
• Contributory pension scheme, up to 20%, including your 8% contribution
• 25 days annual leave + bank holidays + buy/sell/save holiday trading scheme
• A Family Friendly policy that helps you balance your work and family responsibilities
• Access to savings at High Street brands, travel and supermarkets
• £20 contribution to a monthly gym membership – subject to T&Cs
• Health and wellbeing plan- cashback for dentist, opticians, physio and more
• Access to voluntary benefits, including health assessments, private medical insurance and dental insurance
• Employee Volunteering - volunteerin the community for one day each year
• Unlimited access to Refer a Friend £500 bonus scheme
• Life Assurance coverof 4 x salary
• Employee discounts of 15% on a range of NFU Mutual insurance policies.
• Salary sacrifice employee car scheme - subject to eligibility

Working at NFU Mutual

We’re one of the UK’s leading general insurance and financial services organisations, and for over 110years we’ve put our customers at the heart of everything we do. Our people are just as important to us, so we’re proud to be recognised as “a great place to work”. Our Gallup Exceptional Workplace2026 award was not only awarded with Distinction, but it also marked us as the first UK based company to earn a Gallup Exceptional Workplace award for eleven consecutive years. We’ve also been consistently recognised by Glassdoor. We appeared in the Glassdoor Best Places to Work UK list in 2023, 2024 and 2026 — and in 2026, we were the highest ranked insurance business in the UK, highlighting our strong employee experience and the positive feedback our people share on the platform. Additionally, we were named in the LinkedIn Top Companies2026 list of “Best midsize employers to grow your career in the UK”, and we’ve been certified as a UK Top Employer by the Top Employers Institute in 2023, 2024, 2025 and 2026. We offer a supportive and empowering culture where people are inspired to perform, given opportunities to grow, and recognised and rewarded for their contribution. Our people are proud to work for a company that respects them and their communities, and they trust us to be financially sustainable—so we’re successful now and in the future.