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The AA

Data Scientist

London
Posted about 24 hours ago
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Company Description/ Business Unit

Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus


Think the AA is just about roadside assistance? Think again.

For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a Data Scientist means you'll play a crucial role in our success and be part of this exciting motoring journey.

Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.


This is the Job

Data is one of the AA’s biggest opportunities, and we are investing in the 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.

This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.

We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What Will I Be Doing?

  • 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 insight that supports 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.

What Do I Need?

We Are Looking For Someone Who Can Bring

  • Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.
  • Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.
  • Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.
  • 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.

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Additional Information

Benefits

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.

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Skills

Python
SQL
Statistical Modelling
Machine Learning
Demand Forecasting
Supply Forecasting
Workforce Planning
Operational Optimisation
Data Mining
AI
LLM Techniques
Data Governance
Databricks
Git
Jira
ML Ops

Location

London, England, United Kingdom

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