National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst at The Automobile Association (The AA)

HipHopTune Media
London
2 days ago
Create job alert

Data Analyst at The Automobile Association (The AA) The AA is seeking a talented Data Analyst to join their remote team. If you’re passionate about turning data into actionable insights and enjoy working in a collaborative environment, this role is for you.
As a Data Analyst with The AA, you’ll play a key role in helping shape business strategies through your expertise in data interpretation and analysis. Take the next step in your career and work with an iconic brand from the comfort of your home. Apply now!
Position: Data Analyst
Salary: £30,000 to £55,000 a year
Job Type: Full Time
Location: Remote/Hybrid (London, UK)
About the Role The AA is one of the UK’s most well-known and trusted brands. We provide a range of services to millions of customers, from roadside assistance, financial services to insurance and driving lessons. Our mission is to help keep Britain moving, and we’re looking for dedicated individuals to join our team. Are you ready to join?
This is the job
As a Data Analyst at the AA, you will be a key player in our Counter-Fraud and Underwriting team. Your primary goal will be to support the business in detecting and preventing fraudulent activities, and optimising the performance of the Motor Insurance product, by utilising both internal and external data and intelligence.
In this role, you will contribute to the development and delivery of data, as well as the creation and analysis of Management Information (MI). Your work will inform strategic decision-making and support the implementation and optimisation of cutting-edge counter-fraud controls and underwriting risk management across the business.
Main Duties: Proactively gather, analyse, and report on internal and external data to enable performance monitoring, and to support and improve fraud controls and underwriting capabilities.
Provide data and analytics to improve the prioritisation of fraud case management, and to assist the counter-fraud investigators to develop their capability to combat financial crime.
Make data-driven recommendations to enhance the efficiency of the counter-fraud process and aid improved underwriting performance.
Provide analytics to support business case appraisals.
Assist in engaging with external companies and intelligence agencies to identify new opportunities to combat fraud and enhance our underwriting capabilities.
Use data to identify fraud rings and organised fraud, adhering to internal and industry protocols.
Collaborate with Underwriting, Fraud Investigators, Claims, and Pricing teams to achieve key objectives.
Qualifications Creative problem-solving skills using data.
Proven ability to perform statistical analysis, either through education or work experience.
Ability to clearly communicate complex issues.
Competence in conducting analysis and presenting findings to non-technical colleagues.
Self-motivated and eager to take the lead on projects and new initiatives within a small team environment.
Good knowledge of programming skills (Python/SQL knowledge desirable)
Knowledge of the insurance industry and experience in data or pricing analysis (Desirable).
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

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science CRM & Specials Data Analyst

Data Scientist Degree Apprentice

Data Scientist

Machine Learning Engineer (London)

Senior Vehicle Performance Engineer

Junior Data Analyst at Pion (Remote)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.