At a Glance
- Tasks: Lead a team to develop cutting-edge data science solutions and influence business strategy.
- Company: Join AA-X, the innovative arm of the UK's largest driving company.
- Benefits: Enjoy 25 days annual leave, bonuses, and discounts on insurance and healthcare.
- Other info: Hybrid working model with diverse learning opportunities and a supportive culture.
- Why this job: Make a real impact in re-inventing car ownership with data and AI.
- Qualifications: Strong expertise in data science 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.
As a Lead Data Scientist within AA-X, you’ll be 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?
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
Benefits
- 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 employer: The AA
At AA-X, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, we provide diverse learning opportunities, competitive benefits including an annual bonus and private medical insurance, and a commitment to inclusivity that empowers every team member to thrive. Join us in redefining the car ownership experience while enjoying the flexibility of hybrid working and a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at AA-X on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning and statistical models, and think of examples where you've influenced business strategy with data.
✨Tip Number 3
Show off your leadership skills! If you’ve mentored others or led projects, make sure to highlight these experiences. AA-X is looking for someone who can inspire and develop a team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the AA-X team.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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 what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our mission at AA-X. Don’t forget to mention any leadership experience you have, as mentoring is key in this role.
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 real-world applications of your skills. It helps us understand your approach to solving complex 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 to connect with us directly!
How to prepare for a job interview at The AA
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, statistical modelling, and optimisation techniques. Be ready to discuss specific projects where you've applied these skills, especially using tools like Python and R. The more you can demonstrate your technical expertise, the better!
✨Translate Tech to Business
Prepare to explain how your analytical outputs have influenced business strategies in the past. Think of examples where you've turned complex data into actionable insights that stakeholders could understand and use. This will show that you can bridge the gap between data science and business needs.
✨Show Off Your Leadership Skills
Since this role involves leading a team, be ready to talk about your experience mentoring others. Share specific instances where you've fostered a high-performance culture or helped team members grow. This will highlight your ability to lead and inspire.
✨Engage with Stakeholders
Think about how you've partnered with senior stakeholders in previous roles. Prepare to discuss how you shaped priorities and influenced decisions through data-led solutions. This will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
