Data Scientist

The AA

UKhybridPosted Jul 2, 2026
Posting intelligenceActively listedReposted 9×, possible evergreen/ghost posting

Skills

databrickspythonjirallmml

About the role

Company Description/ Business Unit

Location: Basingstoke (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, 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.

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.

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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