Closing date

31/03/2025

Join Admiral’s quest for innovation as we seek a curious mind eager to make waves with advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you’ll be instrumental in shaping the future as the industry evolves. Data and technology are at the heart of our business strategy, propelling our market-leading products forward with the support of a large, dedicated Data Science team that delivers AI and machine learning in our Pricing Data Science department.

Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich atmosphere where innovation thrives, and every voice is heard.

With millions of customer interactions daily, the opportunities to leverage data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured data challenges. Through harnessing the power of Google Cloud and Vertex AI, we’re at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward.

Your role in action

• Unleash the power of data to transform the business landscape with cutting-edge statistical, machine learning, and AI techniques.
• Dive into the ever-evolving data science landscape, continuously exploring innovative concepts and keeping up to date with latest industry advancements.
• Collaborate with a dynamic team to streamline model deployment.
• Champion the power of data science at Admiral, inspiring members of our data community to harness our data’s potential and maximize the impact across the business.
• Partner with business leaders to harness the transformative power of Data Science and help identify future opportunities and priorities.
• Support your team’s growth by actively participating in the development of more junior colleagues, sharing your expertise to drive the team forwards, and contributing to a thriving and impactful data science environment.

Get ready to make a difference and drive value with every data point!

Essential

• 2+ years Data Science experience.
• 1+ years Insurance Pricing domain knowledge.
• Experience with developing Machine Learning models.
• Using Machine Learning techniques to create business solutions.
• Knowledge of feature engineering and selection techniques.
• Coding experience in Python.
• Stakeholder engagement and interaction.
• A natural problem-solver.

Desired

• Model deployment experience.
• Model monitoring & maintenance.
• Mentoring and/or management of other team members.
• Project management.
• Use of software development tools and version control systems such as GIT and Azure Dev Ops.
• Experience of thinking about the wider impact of ML models and techniques on the customer and what considerations to put in place.
• Passionate about making a positive difference in the workplace and beyond, with a knack for understanding the big picture through data.
• Experience of using SQL for data extraction, simple transformations and analysis.
• Great at talking data with anyone, from technical to non-technical audiences, and turning numbers into compelling stories that drive action.

Location

The role is a hybrid role with an expectation to attend our Cardiff office twice a week. Once on a specified team day and the other day to be chosen at the discretion of the successful candidate.

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 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.

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