At a Glance
- Tasks: Lead the development of data science solutions and mentor a team of data scientists.
- Company: Join AA-X, the UK's largest driving company focused on innovation.
- Benefits: Enjoy competitive salary, annual bonus, private medical insurance, and 25 days leave.
- Other info: Diverse learning opportunities and a commitment to inclusivity.
- Why this job: Shape the future of car ownership using data and AI in a collaborative environment.
- Qualifications: Strong expertise in data science, machine learning, and experience leading teams.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (hybrid working 3 office days per week)
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.
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 artificial intelligence 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
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 London employer: Automobile Association
At AA-X, we pride ourselves on being an innovative employer that values collaboration and creativity in the heart of London. Our hybrid working model, combined with a comprehensive benefits package including an annual bonus, private medical insurance, and diverse learning opportunities, ensures that our employees thrive both personally and professionally. Join us to be part of a forward-thinking team that is dedicated to transforming the car ownership experience while fostering a culture of inclusivity and empowerment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at AA-X. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's machine learning models or data visualisations, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can translate your technical expertise into business impact, just like you'd need to do at AA-X.
✨Tip Number 4
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. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Scientist in London
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 specific projects or achievements that showcase your expertise.
Showcase Your Impact:When detailing your past experiences, focus on the impact of your work. How did your data-driven insights influence business decisions? We love seeing quantifiable results, so don’t hold back on the numbers!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at AA-X!
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.
