At a Glance
- Tasks: Design and deploy innovative data solutions to enhance roadside operations.
- Company: Join RAC, a trusted leader in roadside assistance with a supportive culture.
- Benefits: Competitive salary, share scheme, flexible work, and 25 days annual leave.
- Other info: Dynamic team environment with excellent career growth opportunities.
- Why this job: Shape the future of AI in roadside operations and make a real impact.
- Qualifications: Experience in machine learning, Python, and cloud platforms like Azure.
The predicted salary is between 50000 - 70000 £ per year.
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.
- 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.
How We Work
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.
What you’ll do
- 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
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.
What you’ll need
- 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 working 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
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 the 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.
Senior Data Scientist in Bristol employer: RAC
At RAC, we pride ourselves on being an exceptional employer, offering a dynamic and supportive work culture that fosters innovation and collaboration. As a Senior Data Scientist, you'll enjoy a competitive salary, flexible working arrangements, and a wealth of benefits including a share scheme, generous leave policies, and comprehensive wellbeing support. With a strong focus on employee growth and development, you'll have the opportunity to shape the future of roadside operations while working in a hybrid environment from our Bradley Stoke office.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Bristol
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RAC.
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We think you need these skills to ace Senior Data Scientist in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RAC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RAC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RAC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RAC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
