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Data Scientist

Business Role Type
Business Support Role
Business Support Departments
External Closing Date

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**This opportunity is for Masters/PHD level students only, but no prior experience is necessary**

The Admiral Group is a multinational financial services provider, where data and technology take center stage in delivering market-leading products. We have a large data science function that builds and deploys machine learning models for all business areas.

We’re looking for an ambitious and enthusiastic recent Masters or PhD graduate in a numerical discipline to join our International Analytics team based in Cardiff. You should be intelligent and hard-working, and have some experience (academic or otherwise) with machine learning and data modelling.

The team is composed of 15 people, who are based in the UK but tend to travel 3-4 times a year to our overseas operations (in Spain, Italy, France, or the USA).

We do a variety of work for the business including replicating models built for one country in our other businesses, and building brand new models. This role will focus on both modelling and internal collaboration. You will initially train under one of our more experienced data scientists, so you won’t be thrown into the deep end! However, you should be a fast-learner as we expect you to get to grips with the role within a few months and start taking on your own projects within a year.

You will hone your data, statistical, and business skills. You will also be exposed to senior management across the group and make an outsized impact early in your career.


  • Solve business problems using a range of machine learning techniques
  • Work collaboratively to deploy models and build tools
  • Communicate results to key decision makers across geographies, including Division Heads and regional CEOs
  • Advise other data divisions on best practices in data science
  • Research new ideas and stay up to date with industry developments

Desirable Skills and Experience

  • MSc / PhD in a quantitative discipline
  • Proven experience using supervised machine learning techniques such as GLMs, random forests, neural networks, and gradient boosted ensembles
  • Experience using data and modelling tools such as R, Python, SAS, and SQL
  • Excellent communication skills for both technical and non-technical audiences
  • Industry experience in data science is an advantage
  • French, Italian, or Spanish language skills are valuable but not essential

About Admiral

We're Wales’ only FTSE 100 company with forward-thinking approaches and endless opportunities to test, learn and grow. There's a reason we've been named a best place to work: Our progressive culture, core values, and commitment to diversity and inclusion has created a working environment where people share ideas, aren’t afraid to speak up and change things, and above all, feel valued.

Based on innovation and organic growth Admiral has grown from being a small start-up into a multi-national organisation. The company is constantly investigating new products, services and markets and is now present in eight countries with a diverse product portfolio.

Admiral’s success goes hand-in-hand with having a strong people focused culture. We believe that happy people make happy customers and happy customers help increase profits. Our philosophy is a simple yet effective one: “people who like what they do, do it better”

We truly care about our customers - they are at the heart of every decision we make. We’re very proud of the innovative products we offer and level of service we provide. Everything we do acknowledges the needs of our customers and by recruiting the right people, we can continue to provide great service and ensure an excellent experience for our customers.

Admiral people work hard to keep us at the top of our industry, and are rewarded for it—with competitive pay, great benefits, a share package based on company performance (after a year of service), a great work-life balance, nearby fitness and health centres, and many other perks (read about our benefits)

Find out more about us!