RAC
Senior Data Scientist
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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.
Role Overview
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.
Key Responsibilities
- Innovative Solutions: Design and deploy innovative solutions.
- Collaboration: Work across multiple projects and collaborate with cross-functional teams.
- Data Insights: Turn data into actionable insights and real-world impact.
- Advanced Analytics: Apply advanced analytics and machine learning to improve operational efficiency and customer experience.
Role Requirements
- Problem-Solving Mindset: Strong problem-solving skills with a natural curiosity.
- Creative Approach: Ability to approach challenges creatively and analytically.
- Hands-On Experience: Experience in experimenting, testing, and trialling new approaches or technologies to validate ideas and drive continuous improvement.
Role Details
- Hybrid Role: 2 days a week from our Bradley Stoke office and 3 days a week from home.
- Career with Purpose: More than a job, offering a career with purpose.
Benefits
- Earnings That Motivate: Competitive salary plus automatic enrolment in the ‘Owning It Together’ Colleague Share Scheme.
- Tools to Drive Your Future: Free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme after 12 months.
- Time Off That Matters: 25 days annual leave, plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources.
- Financial Security & Perks: Pension scheme with up to 6.5% matched contributions, life assurance cover up to 4x salary (10x optional), and more.
- Wellbeing That Works for You: 24/7 confidential support service for you and household members aged 16+.
- Extras That Make a Difference: Access to Orange Savings, an exclusive discount portal, and automatic joining of the Colleague Share Scheme after probation.
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How We Work
- Production-First Approach: End-to-end ownership from exploration to production deployment.
- Collaboration: Close collaboration with Data Engineering and Software teams.
- CI/CD Pipelines: CI/CD pipelines and version-controlled experimentation.
- Model Monitoring: Model monitoring, evaluation, and continuous improvement.
- Cloud-Native Development: Cloud-native development using Azure, focusing on robust, scalable solutions.
Daily Tasks
- Data Analysis: Analyse historical and real-time data to identify trends, inefficiencies, and optimisation opportunities.
- Machine Learning Models: Develop and deploy cutting-edge machine learning models, focusing on operational performance and resource optimisation.
- Advanced Analytics: Enhance real-time decision-making through advanced analytics and AI solutions.
- Collaboration: Collaborate with Data Engineering teams to ensure high-quality data pipelines and model readiness.
- Integration: Partner with Product Managers and Software Engineers to integrate models into production systems.
- Validation: Validate, monitor, and continuously improve models based on business feedback.
- Communication: Communicate insights clearly to stakeholders, translating complex data into business value.
- Code Quality: Contribute to code quality through reviews and maintain well-documented, scalable solutions.
- Stay Updated: Stay up to date with emerging trends in machine learning, AI, and cloud technologies (particularly Azure).
- Best Practices: Support the development of data science best practices and standards across the organisation.
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AI & LLM Applications
We are actively exploring and deploying LLM-based solutions, such as:
- Intelligent Triage Support Tools: For customer interactions.
- Knowledge Retrieval Systems: For operational teams.
- Automated Insight Generation: And decision support.
You’ll help shape how generative AI is applied in a practical, high-impact environment.
Required Skills
- Machine Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, scikit-learn.
- Python Skills: Strong Python skills for data analysis, modelling, and development.
- Large Language Models: Experience working with LLMs, including prompt engineering, fine-tuning, and evaluation.
- SQL and Snowflake: Solid SQL and Snowflake knowledge, with experience working on relational databases.
- Version Control: Understanding of version control (e.g., Git) and exposure to MLOps practices.
- Cloud Platforms: Experience working with cloud platforms, ideally Azure.
- Problem-Solving: Strong problem-solving skills and the ability to evaluate a range of solution approaches.
- Communication: Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
- Agile Environments: Experience working in Agile environments.
- Educational Background: Degree in Engineering, Sciences, Data Science, Statistics, or a related field.
Why RAC?
For more than 128 years, we’ve been keeping drivers moving, and today we’re trusted by over 15 million members. We’re also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand.
We welcome people from every background, value every voice, and back your growth every step of the way. At RAC, you can bring your full self to work and we’ll be with you every step of the way to help you grow and develop your career.
Ready to make a difference? Your next career move starts here.
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