Job description


We are looking for someone inquisitive and keen to make an impact using innovative analytical methods. You must have a keen interest in machine learning and be ready to expand your skills as the field progresses.

Data and technology take centre stage in delivering our market-leading products, and we have a large Data Science function that builds and deploys machine learning and artificial intelligence solutions for all business areas, including Pricing, Marketing, and Claims.

Admiral is dedicated to using Data & ML to make a positive difference and to support our customers and employees. Our forward-thinking culture, core values, and commitment to diversity and inclusion have fostered a work environment where ideas are shared, innovation is encouraged, and everyone feels valued.

The successful candidate will report into the core Data Science function for training, support, development, and best practice. However, they work closely with the business teams to develop meaningful solutions that best meet their needs. The role will cover a diverse range of approaches, including projects with unstructured data, as well as traditional structured data problems. With over 4 million interactions with our customers every day, we have a lot of data that can be put to good use.

Main Duties

  • Solve business problems using a range of advanced statistical, machine learning and artificial intelligence techniques.
  • Research new ideas and stay up to date with the world of data science.
  • Work closely with the other members of the team to ensure models are easy to deploy.
  • Be an advocate for data science within Admiral, helping the business understand where and when it can add value to their processes.
  • Contribute to the training and development of Graduate Data Scientists.
  • Contribute to the data scientist community within Admiral in a positive way.

About You

Whilst you enjoy research and proposing solutions to the rest of the team, you keep an equal focus on delivering business value. Equally, you will enjoy learning about the business needs and working with a range of stakeholders.

Desirable Skills and Experience

  • 2+ years’ experience working in Data Science or relevant field.
  • Proven experience using supervised learning techniques such as Gradient Boosting, GLM’s or random forests.
  • Experience using a range of tools, such as Python, R, SparkML, etc. preferably within a Cloud environment.
  • Excellent communication skills with the ability to tailor communication across a range of technical and non-technical audiences.

Interview process

There will be a 2 stage interview including an assesment.

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.

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 consistently voted one of the 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.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: to join our community.

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