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Data Scientist
Job Description: Data Scientist
About The Role
Our Chief Operating Office (COO) serves as the backbone of The AA, driving stability, growth, and innovation. This is a role focused on shaping the future of demand and supply forecasting using machine learning to ensure our roadside patrol operations have the right capability in the right place and time.
We see data as one of our greatest opportunities, and we’re investing in AI, platforms, and software to maximise its potential. As a Data Scientist, you will:
- Transform complex data into practical solutions that enhance decision-making, workforce optimisation, and operational performance.
- Work on real-world challenges in demand forecasting, resource optimisation, and customer demand analysis.
- Be at the heart of national workforce planning, logistics, mobility, and emergency response operations.
We are looking for someone who thrives when solving real-world problems using data science. Prior experience in industries with large, field-based, or nationally deployed teams (e.g., logistics, utilities, transport, airlines, emergency services, or roadside operations) would be highly valued.
Key Responsibilities
- Build and deploy statistical modelling and machine learning solutions for forecasting, segmentation, and value-ownership analysis.
- Apply data mining, algorithmic techniques (including AI and LLM-based approaches) to solve operational challenges.
- Collaborate with data engineers, architects, and AI experts to design and scale models into platforms and AA products.
- Analyse trends, scenarios, risks, and insights to improve business performance and customer outcomes.
- Ensure data quality, reliability, and governance compliance when working with relevant datasets.
- Translate technical insights into clear, actionable business recommendations through presentations and stakeholder engagements.
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What You’ll Need
Essential Experience & Skills
- Strong background in demand forecasting, supply forecasting, workforce planning, or operational optimisation.
- Expertise in Python, SQL, and statistical modelling, with experience developing production-ready analytics solutions.
- Experience working with complex operational data, especially for mobile, field, logistics, transport, or emergency services.
- Ability to convert ambiguous business problems into scalable analytical models and recommendations.
- Strong communication skills to explain complex data insights to both technical and non-technical stakeholders.
- Understanding of data governance, responsible AI, and best practices (experience with Databricks, Git, Jira, ML Ops, feature stores, or data pipelines would be an advantage).
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Benefits & Perks
At The AA, we believe in rewarding your dedication and providing a supportive working environment. Join us and you’ll enjoy:
- 25 days annual leave + bank holidays, plus a holiday buying scheme.
- Worksave pension scheme with a maximum 7% employer contribution.
- Free AA breakdown cover from Day 1, plus a 50% discount for family & friends.
- Discounts on AA products, including car and home insurance.
- Employee discount scheme, offering car salary sacrifice and savings on healthcare, shopping, travel, and more.
- Company-funded life assurance.
- Access to tailored learning and development to accelerate your career.
- Dedicated 24/7 remote GP service plus an Employee Assistance Programme for you and your family.
We are committed to being an equal opportunities employer and welcome applications from all candidates. The AA values diversity, seeing it as a driving force behind not only our culture but also the quality of our services. We foster five inclusive communities to encourage collaboration, growth, and change.
Join a team transformed by data-driven innovation and shaped by industry-leading technicians, engineers, and data scientists. Your insights will help The AA continue to excel in motoring, customer service, and technology—one forecast and decision at a time.
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