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, Bescot, or Salford offices and 3 days a week from home offering flexibility while being part of a dynamic and supportive team.

• Earnings That Motivate - enjoy a competitive salary plus automatic enrolment in our "Owning It Together" Colleague Share Scheme.
• 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.
• Time Off That Matters - enjoy 25 days annual leave, plus bank holidays, 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 and life assurance cover up to 4 salary (10 optional with flex benefits).
• Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+.
• Extras That Make a Difference - access to Orange Savings, an exclusive discount portal, and automatic entry into the Colleague Share Scheme after probation.

• 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

• Analyse historical and real time data to identify trends, inefficiencies, and optimisation opportunities
• Develop and deploy cutting edge machine learning models, focusing 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

• Intelligent triage support tools for customer interactions
• Knowledge retrieval systems for operational teams
• Automated insight generation and decision support

• Hands on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit learn)
• Strong Python skills for data analysis, modelling, and development
• Experience working with large language models (LLMs), including prompt engineering, fine tuning, and evaluation
• Solid SQL and Snowflake knowledge, with experience on relational databases
• Understanding of version control (e.g., Git) and exposure to MLOps practices
• Experience working with cloud platforms, ideally Azure
• Strong problem solving skills and the ability to evaluate a range of solution approaches
• Excellent communication skills, with the ability to present technical concepts to non technical audiences
• Experience working in Agile environments
• Degree in Engineering, Sciences, Data Science, Statistics, or a related field