Data Science Manager

Salary: £68,000 - 108,000 per year

Requirements:

• Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
• Data manipulation and analytical skills in languages such as Python and SQL.
• Knowledge of modern visualization tools such as PowerBI is a plus.
• Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
• Effective task and project management and general organization skills.
• Excellent verbal and written communication skills, with the ability to convey complex concepts to technical and non-technical people across the organization.
• Exceptional teamwork skills and the ability to collaborate and build trusting relationships with business partners.
• Natural curiosity to understand the world around you and question as needed.
• Comfort handling ambiguous concepts and breaking down complex problems into manageable pieces.
• Ability to apply critical thinking and creative problem-solving skills.
• Experience in advanced analytics roles, with a significant portion in the insurance industry.
• Experience working in an analytical role within a London Market insurance environment is a significant advantage.
• Hands-on experience developing and deploying real-time predictive models in the London Market.
• Experience delivering business value from small or non-standard data sets.
• Degree in statistics, mathematics, computer science, engineering or a similar quantitative field; or significant experience in advanced data analytics.

Responsibilities:

• Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
• Collaborate in cross-functional teams and share ideas to solve complex business problems.
• Build strong partnerships with peers across the organization to support project goals and broader team needs.
• Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
• Develop powerful insights using a variety of analytical tools, techniques and technologies, and deliver results into the business that drive business decisions.
• Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
• Help establish best practices and repeatable processes for the Strategic Analytics team.
• Provide thought leadership on new, innovative techniques, approaches and software.
• Guide, support, mentor and develop the growing team of predictive modelers and data scientists.

Technologies:

• Azure
• Cloud
• Databricks
• Support
• Machine Learning
• Python
• SQL
• Snowflake

More:

We are built on a company culture rooted in collaboration, expertise and innovation, and we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, we Enable Possibility. This is a full-time role based in London, United Kingdom with Arch Europe Insurance Services Ltd.

last updated 34 week of 2026