At a Glance
- Tasks: Lead the development of data science solutions that transform complex data into actionable insights.
- Company: Join AA-X, the UK's largest and most trusted driving company focused on innovation.
- Benefits: Enjoy a competitive salary, annual bonus, private medical insurance, and 25 days annual leave.
- Other info: Diverse learning opportunities and a supportive, inclusive work environment await you.
- Why this job: Shape the future of car ownership using data and AI while making a real impact.
- Qualifications: Strong expertise in data science, machine learning, and experience leading teams.
The predicted salary is between 70000 - 90000 £ per year.
Location: Oldbury (hybrid working 3 office days per week) - regular travel to our London office will be required.
Employment Type: Permanent, full time
Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance
Technology has made human life easier; from booking holidays and banking, through to meeting new people and work opportunities. But over the last decade owning and driving cars has gotten far tougher. At AA-X we are on a mission to re‑invent the car ownership and usage experience. We imagine, build and grow connected car ventures. Using data and AI to provide car and driver insights with new solutions that give drivers control, confidence and a little joy across their motoring lives.
As a Lead Data Scientist within AA-X, you’ll be a part of the UK’s largest and most trusted driving company, developing and testing human‑centric products and services fast; whilst giving AA members first access to everything we build. Are you ready for a career where you’re always ahead?
This is the job
We are looking for a Lead Data Scientist to join our innovation‑focused data team, where you will play a pivotal role in shaping how advanced analytics, machine learning and AI drive both business performance and customer outcomes. In this highly visible role, you will lead the development of high‑impact data science solutions, transforming complex data into actionable insights that directly influence product strategy and operational direction.
You will bring deep technical data science expertise alongside strong commercial awareness, enabling you to operate confidently at both a hands‑on and strategic level. Working closely with senior stakeholders, you will translate analytical outputs into clear strategic roadmaps, helping to prioritise opportunities and embed data science at the heart of decision‑making. We are looking for someone who challenges thinking, brings fresh ideas, and thrives in a fast‑paced, collaborative environment where data is central to shaping the future.
What will I be doing?
- Develop and deploy advanced machine learning and statistical models to solve complex business challenges
- Translate technical outputs into clear strategic recommendations and data‑driven roadmaps
- Lead, mentor and develop a small team of data scientists, fostering a high‑performance culture
- Partner with senior stakeholders to shape priorities, influence decisions, and drive adoption of data‑led solutions
- Design and deliver scalable data products in collaboration with data engineering teams
- Identify and prioritise a pipeline of high‑value data science opportunities aligned to business goals
What do I need?
- Strong technical expertise in data science, including machine learning, statistical modelling and optimisation techniques
- Advanced proficiency in tools such as Python, R, Spark and modern data platforms (e.g. Databricks)
- Proven ability to translate complex analytical outputs into business strategy and influence senior stakeholders
- Experience leading or mentoring data science teams and delivering through others
- Track record of delivering impactful, production‑ready data science solutions
- Excellent communication skills with the ability to engage both technical and non‑technical audiences
Additional information
We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:
- 25 days annual leave plus bank holidays + holiday buying scheme
- Worksave pension scheme with up to 7% employer contribution
- Free AA breakdown membership from Day 1 plus 50% discount for family and friends
- Discounts on AA products including car and home insurance
- Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
- Company funded life assurance
- Diverse learning and development opportunities to support you to progress in your career
- Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family
Plus, so much more! We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.
Lead Data Scientist in Oldbury employer: Automobile Association
At AA-X, we pride ourselves on being an innovative employer that values collaboration and creativity in the fast-paced world of data science. Located in Oldbury with hybrid working options, our team enjoys a supportive work culture that prioritises employee growth through diverse learning opportunities and a comprehensive benefits package, including annual bonuses and private medical insurance. Join us to make a meaningful impact in the automotive industry while enjoying a fulfilling career with a company that champions diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Oldbury
✨Tip Number 1
Network like a pro! Reach out to current employees at AA-X on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Lead Data Scientist role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning, statistical modelling, and how you've translated data insights into business strategies. Show us you can walk the talk!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your leadership experience too! Talk about how you've mentored teams and fostered a high-performance culture. We want to see that you can lead and inspire others in the data science space.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the AA-X team. Let’s get you on board!
We think you need these skills to ace Lead Data Scientist in Oldbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning, statistical modelling, and any tools like Python or R that you’ve used. We want to see how your skills align with our mission at AA-X!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our innovative team. Don’t forget to mention your experience in leading teams and influencing stakeholders.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's a personal project or something from a previous job, we love seeing how you've applied your data science skills to solve real-world problems.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Automobile Association
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in machine learning and statistical modelling. Be ready to discuss specific projects where you've used Python, R, or Spark to solve complex problems. This will show that you can not only talk the talk but also walk the walk.
✨Translate Tech to Business
Prepare examples of how you've turned complex data insights into actionable business strategies. The interviewers will want to see that you can communicate effectively with both technical and non-technical stakeholders, so practice explaining your work in simple terms.
✨Show Your Leadership Skills
Since this role involves leading a team, think about times when you've mentored others or led projects. Be ready to share how you fostered a high-performance culture and helped your team grow. This will demonstrate your ability to lead and inspire.
✨Be Ready for Collaboration
This position requires working closely with senior stakeholders, so come prepared with examples of how you've successfully partnered with others in the past. Highlight your collaborative approach and how you’ve influenced decisions through data-driven insights.
