About this role
Salary: £47,000 - 87,000 per year
Requirements: Degree in a STEM or closely related field, or equivalent experience; a further degree is a plus.Practical data science experience applying analytical techniques to solve business problems and deliver valuable insights.Experience conducting data analysis, experimentation, and model development to address business challenges.Comfortable using generative AI technologies, including AI-assisted coding tools, to accelerate research, development, and problem-solving, while maintaining a thorough understanding of the methods, code, and outputs produced.Ability to critically review, validate, and take ownership of AI-assisted work, ensuring solutions are accurate, explainable, and fit for purpose, while working effectively both independently and as part of a team.Experience using statistical analysis, machine learning, generative AI, and data science techniques to identify trends, generate insights, and support business decision-making.Experience with analytical tools, programming languages, and databases, such as Python and SQL.Working knowledge of generative AI techniques and technologies, including large language models, prompt engineering techniques, AI-assisted coding tools, and agentic AI workflows.Interest in a broad range of data science, machine learning, and AI techniques, with an eagerness to learn about emerging technologies and industry best practice.A strong grounding in statistical concepts and their practical application.Experience working both independently and collaboratively within small, cross-functional teams to deliver analytics and data science projects.Strong verbal, written, and presentation skills, with the ability to communicate technical concepts and insights clearly to both technical and non-technical stakeholders.Willingness to learn and apply engineering best practices, including version control, testing, code review, and reproducible development workflows.Exposure to cloud platforms such as Google Cloud Platform is advantageous but not essential.Knowledge of the insurance industry is beneficial but not required. Responsibilities: Leverage industry standards, emerging methodologies, and empirical research to develop critical inputs to business information and help business leaders develop innovative approaches to driving their business.Work on the end-to-end data solution, including understanding complex business challenges, designing solutions, working with large and small data sets, including third-party and internal data of a wide variety, and using cutting-edge machine learning or generative AI techniques.Work collaboratively with data scientists and other technical disciplines, including product and business teams.Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value through the use of a range of analytics techniques.Take a high-impact role as a critical thinker and problem solver across the London Market.Manage multiple priorities and deliver both ad hoc analysis and predictive and prescriptive models.Communicate the business value of analytical solutions to stakeholders.Conceptualise new approaches, communicate your vision to stakeholders, and see ideas through to implementation. Technologies: Agentic AIAICloudSupportMachine LearningPythonSQLGCP More:
We are Hiscox, and we are building a brilliant future with a high-impact Data Scientist role in London. You will join an award-winning team recognised for its pioneering collaboration with Google to deliver the markets first AI-enhanced lead underwriting solution, reflecting our commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges. You will work within a wider technical team across multiple business functions in a fast-paced, evolving environment, contributing to our data culture and evidence-based decision-making. This is a full-time, permanent role based in London, and we offer the opportunity to work with amazing people as part of a unique culture.
last updated 36 week of 2026