Senior Data Scientist

Job Type: Permanent
Build a brilliant future with Hiscox
Position:
Senior Data Scientist
Reporting to:
Lead Data Scientist

Location:

London
Type:
Permanent

As a Senior Data Scientist at Hiscox, you will take on a high‑impact role, acting as a critical thinker and problem solver for the business. You’ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data‑driven decision‑making across the London Market. You’ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad‑hoc analysis and predictive/prescriptive models.

Your work will contribute directly to building Hiscox’s data culture and enabling evidence‑based decisions in a fast‑paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.

Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end‑to‑end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting‑edge machine learning or statistical modelling techniques to derive insights.

Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. 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.

• Degree in a STEM or closely related field or equivalent experience.
• Additional degree is a plus.
• Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
• Experience of data science in finance or insurance is an advantage but not required.
• Ability to conduct high quality research in a suitably timely manner, working independently and in small teams as required by the task.
• Familiarity with version control, agile working and other IT delivery tools is required.

• Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for the target audience.
• Experience with analytical tools, programming languages and databases (e.g., Python, R, SQL).
• Experience with large language models and prompting; GCP experience is a plus.
• Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
• A particular interest in natural language processing or machine vision.
• A strong grasp of foundational statistics is essential.
• Experience working both in small teams and independently on analytics projects.
• Strong verbal and written communication skills and effective presentation skills.
• Willingness to learn best practice in software development.
• Knowledge of insurance is an advantage but not essential.