Graduate Opportunity

International Data Scientist

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About the role

The Admiral Group is a multinational financial services provider, where data and technology take centre 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.

Ever wondered what life in Admiral is like?

Our defining principle of 'people who like what they do, do it better' helps to shape our unique culture. Take a look into life at Admiral...

The team is composed of 20 people, who are based in the UK but tend to travel 2-3 times a year to our overseas operations (in Spain, Italy, France, or the USA).

This role will focus on both modelling and internal collaboration. You will initially train under some of our more experienced analysts and data scientists, so you won’t be thrown into the deep end! However, you should be a fast learner as we expect you to be comfortable in the role within a few months and start taking responsibility for your own projects within a year.

Over time 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.

Responsibilities

  • 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 any STEM 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 develop. Through innovation and organic growth, Admiral has evolved from a tiny startup into a multinational with a diverse product portfolio and a presence in eight countries.

There's a reason we've been named on the Sunday Times’ Best Companies to Work For 19 years in a row: Our culture, core values, and commitment to diversity has created an environment where people share ideas, make an impact, and feel valued. Our philosophy is simple yet effective: “People who like what they do, do it better”

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

Salary, Benefits and Work-Life Balance

We do not have a set salary for this position, as it will be dependent on the successful candidate's experience. We are happy to see CVs from all candidates who meet the requirements, and will be happy to discuss the remuneration package.

COVID-19 update - Despite the circumstances surrounding COVID-19, we are continuing to recruit, however we have made some adjustments to our recruitment processes. As opposed to face-to-face interviews, we’re currently conducting all interviews virtually. If you are successful in securing an interview, Admiral’s Recruitment team will advise you of the platform being used, and will be happy to trial this platform with you, or support you in getting set up prior to the interview. We are still actively offering positions, either leaving your start date as ‘to be confirmed’, or starting your remotely temporarily where possible.

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How to Apply

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