2 of 2 Data Munging Jobs in the South West

Data Scientist Salary: £35,000 - £45,000 Are you passionate about solving complex problems and using data to make a real-world impact? Do you thrive in a collaborative environment where innovation and continuous learning are part of everyday life? If so, we’d love to hear from you! We’re looking for a Data Scientist to join our high-profile Counter-Fraud Data Science and Advanced Analytics Team at Aviva. This is your chance to work with one of the richest insurance datasets in the world and help shape the future of fraud detection through cutting-edge analytics and AI. A bit about the job: Apply advanced analytics and machine … learning techniques to tackle fraud-related challenges. Work across the full data science lifecycle – from problem definition and data wrangling to modelling and deployment. Collaborate with stakeholders to deliver actionable insights and productionised AI solutions. Be part of Quantum, Aviva’s dedicated Data Science community, and grow your skills through continuous learning and knowledge More ❯

Junior Data Scientist Role Overview: We are seeking a Junior Data Scientist to join our dynamic team. The primary responsibility of this role is to collaborate with our data science team in cleaning and processing the data that is ingested by Envelop's proprietary stochastic cyber risk model. The ideal candidate will … have a keen eye for detail, an analytical mindset and a passion for data. This role is responsible for cleaning, enriching, and ingesting insurance portfolio data and the processes associated with that. Responsibilities: · Clean, standardize, and validate insurance portfolio data using Python (especially Pandas) to align with a common schema, ensuring consistency, completeness, and high data quality for downstream analysis. · Develop, maintain, and improve internal utilities and functions that support the data cleaning pipeline, including code refactoring, fixing bugs, and implementing new features. · Collaborate on initiatives involving large language models (LLMs) to automate data preparation tasks, including prompt engineering, experimentation, and evaluation of model outputs. · Contribute to data More ❯