At Admiral, machine learning and artificial intelligence play a central role in delivering our market-leading products. We are currently looking for numerically-minded graduates with good communication skills to join our International Pricing and Analytics division, based out of our global headquarters in Cardiff.
After a significant period of structured and on-the-job training, you will develop both a deep knowledge of modern data science techniques and a broad understanding of the business world. You will use these skills to help solve some of the most important questions facing our global organisation. Once it is safe, you may also have opportunities to travel to our offices in Paris, Rome, and Seville for work assignments.
Admiral is a market leader in the insurance industry, voted No. 1 in the 2019 Sunday Times Best Big Companies to Work For list. You will work in a responsive, collaborative environment alongside other talented Data Scientists, where no one will ever say “no” to a good idea.
We are looking for inquisitive graduates with a desire to make an impact using innovative analytic methods. You must have a deep interest in machine learning or statistics and be ready to grow your skills as the field progresses. You should be comfortable in a culture where decision making is evidence-based and reliant on rigorous analysis.
Whilst we will support you every step of the way, you should be motivated and able to work without supervision. You will need to cooperate effectively with others and deliver on agreed timelines in a dynamic environment.
Desirable Skills and Experience
Benefits and Work-Life Balance
At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we're voted no. 1 in the 2019 Sunday Times Best Big Companies to Work For in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.