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About the Role
As a Data Scientist at Hiscox, you will act as a critical thinker and problem solver, applying technical skills and innovative thinking to tackle complex challenges, identify opportunities, and shape data-driven decision-making. You will manage multiple priorities, deliver ad hoc analysis and predictive/prescriptive models, and communicate the business value of analytical solutions to stakeholders. This role contributes to building Hiscox’s data culture and enabling evidence-based decisions in a fast-paced environment.
Responsibilities
- Leverage industry standards, emerging methodologies, and empirical research to develop critical inputs to business information and help business leaders develop innovative approaches.
- Work on end-to-end data solutions, including understanding business challenges, designing solutions, working with diverse datasets, and using cutting-edge machine learning or Generative AI techniques.
- Collaborate with data scientists and other technical disciplines, including product and business teams.
- Contribute to delivering value through the use of a range of analytics techniques within the data and analytics community at Hiscox.
Requirements
- Degree in a STEM or closely related field or equivalent experience.
- 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.
- Ability to critically review, validate, and take ownership of AI-assisted work, ensuring solutions are accurate, explainable, and fit for purpose.
- Ability to work effectively both independently and as part of a team.
Skills
- Statistical analysis, machine learning, generative AI, and data science techniques.
- Analytical tools, programming languages, and databases, such as Python and SQL.
- Generative AI techniques and technologies, including large language models (LLMs), prompt engineering, AI-assisted coding tools, and agentic AI workflows.
- Broad interest in data science, machine learning, and AI techniques, with eagerness to learn emerging technologies.
- Strong grounding in statistical concepts and their practical application.
- Experience working independently and collaboratively within small, cross-functional teams.
- Strong verbal, written, and presentation skills, with the ability to communicate technical concepts 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 (GCP) is advantageous but not essential.
- Knowledge of the insurance industry is beneficial but not required.
Work Type
- Permanent
Education Level
- Degree in a STEM or closely related field or equivalent experience.
- A further degree is a plus.
About the Company
- Build a brilliant future with Hiscox.
- You’ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution.
- This achievement reflects the team’s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
- Work with amazing people and be part of a unique culture.