Senior Data Scientist

We’re looking for a talented Senior Data Scientist to join our growing AI Squad within our Technology division, supporting the Rescue and Recovery operations.

As a Senior Data Scientist
, you’ll play a key role in designing and deploying innovative solutions, working across multiple projects and collaborating with cross-functional teams to turn data into actionable insight and real-world impact.

This is an exciting opportunity to shape the future of roadside operations by applying advanced analytics and machine learning to drive meaningful improvements in operational efficiency and customer experience.

The role is suitable for an individual who brings a strong problem-solving mindset, with a natural curiosity and the ability to approach challenges creatively and analytically. You’ll ideally have hands‑on experience in experimenting, testing, and trialling new approaches or technologies to validate ideas and drive continuous improvement.

This is a hybrid role, working 2 days a week from our Bradley Stoke office and 3 days a week from home offering flexibility while being part of a dynamic and supportive team.

We offer more than a job. We offer a career with purpose.

As a Senior Data Scientist at RAC, you’ll get benefits that go the extra mile

• Earnings That Motivate - enjoy a competitive salary plus automatic enrolment in our ‘Owning It Together’ Colleague Share Scheme - a unique opportunity to share in RAC’s future success and be rewarded for the exceptional work you deliver.
• Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings.
• Time Off That Matters – enjoy 25 days annual leave, plus bank holidays. We also support work‑life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments.
• Financial Security & Perks – pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term.
• Wellbeing That Works for You – our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it.
• Extras That Make a Difference – access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success.

We take a production‑first approach to data science, with a strong focus on delivering measurable outcomes:

• End‑to‑end ownership from exploration to production deployment
• Close collaboration with Data Engineering and Software teams
• CI/CD pipelines and version‑controlled experimentation
• Model monitoring, evaluation, and continuous improvement
• Cloud‑native development using Azure We prioritise building robust, scalable solutions, not just prototypes.

• Analyse historical and real‑time data to identify trends, inefficiencies, and optimisation opportunities
• Develop and deploy cutting‑edge machine learning models, with a focus on operational performance and resource optimisation
• Enhance real‑time decision‑making through advanced analytics and AI solutions
• Collaborate with Data Engineering teams to ensure high‑quality data pipelines and model readiness
• Partner with Product Managers and Software Engineers to integrate models into production systems
• Validate, monitor, and continuously improve models based on business feedback
• Communicate insights clearly to stakeholders, translating complex data into business value
• Contribute to code quality through reviews and maintain well‑documented, scalable solutions
• Stay up to date with emerging trends in machine learning, AI, and cloud technologies (particularly Azure)
• Support the development of data science best practices and standards across the organisation

We are actively exploring and deploying LLM‑based solutions, such as:

• Knowledge retrieval systems for operational teams
• Automated insight generation…