2 of 2 Data Scientist Jobs in Somerset

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 More ❯

days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing: As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be … responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the … software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where More ❯