Data Scientist - Hybrid (Bristol-based)
£40,000 - £45,000 (up to £50,000 for exceptional candidates)
Hybrid Working | Python & Pandas
Are you passionate about data and ready to make a real impact in the world of cyber risk?
We're working with a forward-thinking company that's pioneering cyber risk modelling using advanced stochastic techniques, and they're on the lookout for a skilled Data Scientist to join their growing team. This is a brilliant opportunity for someone with a sharp analytical mind and solid Python skills, who enjoys building efficient data pipelines and uncovering insights from complex datasets.
The Role
You'll play a key role in cleaning, enriching, and preparing insurance portfolio data that feeds into cutting-edge risk models. From day one, you'll work closely with modellers, data scientists, and engineering experts to ensure high data quality and process efficiency. The work you do will directly influence insights into cyber exposure and risk trends.
Key Responsibilities
* Clean, validate, and standardise large insurance datasets using Python (especially Pandas)
* Develop and refine internal tools and utilities for data cleaning workflows
* Support the integration of LLMs to automate data prep, including prompt engineering and model evaluation
1. Generate insightful data reports related to insurance exposure and risk events