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Data Scientist (Python, Pandas)
Job Posted: 17 hours ago
Salary: £ 40,000 - 50,000 / Annum
Job Type: Permanent
Location: South West
Expire in: a month
Job Description
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
Generate insightful data reports related to insurance exposure and risk events
Communicate findings clearly to both technical and non-technical teams
Apply software engineering practices to improve data systems and pipelines
Continuously improve data workflows, quality, and ingestion pipelines (ETL)
Stay ahead of trends in data science, reinsurance, and cyber risk
🎯 What We're Looking For
2-4 years in a data-driven or technical role
Strong Python skills with a deep understanding of Pandas
Excellent attention to detail and a strong sense of data quality
Commercial experience blending data engineering and data science approaches
Experience with data ingestion and ETL pipelines
Curious, adaptable, and a natural problem solver
Bonus points for:
Experience in financial services, insurance, or reinsurance
Familiarity with Databricks, Git, PySpark or SQL
Exposure to cyber risk or large-scale modelling environments
📩 Ready to Apply for this exciting Data Scientist role?
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