Company
Location: Oldbury (hybrid working 3 office days per week). Employment Type: Permanent, full time. Additional Benefit: Annual Bonus.
Think the AA is just about roadside assistance? Think again. For over a century we have evolved to become the nation’s leading motoring organisation, offering a wide range of products and services to millions of customers—from roadside assistance to home and motor insurance, and the latest driving technologies. As we continue to expand, diversify and modernise, a Data Scientist will play a crucial role in our success and help us navigate this exciting journey.
This is the job
Data is one of the AA’s biggest opportunities. We are investing in tools, platforms and AI capability to use it better. As a Data Scientist, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.
Responsibilities
- Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.
- Use data mining, modelling and algorithmic approaches, including AI and LLM‑enabled techniques where appropriate, to solve complex business problems.
- Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.
- Analyse trends, evaluate scenarios, assess risks and uncover insights that support better business and customer outcomes.
- Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.
- Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.
Requirements
- Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.
- Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.
- Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.
- The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.
- Strong communication skills, with the confidence to explain complex analysis clearly to technical and non‑technical stakeholders.
- An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.
Benefits
- 25 days annual leave plus bank holidays and 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 access to a car salary sacrifice scheme plus discounts on healthcare, shopping, holidays and more.
- Company funded life assurance.
- Diverse learning and development opportunities to support career progress.
- 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 it brings to our culture and our customers. We actively seek people from diverse backgrounds and provide an inclusive company where you can be yourself and feel you truly belong.
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