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Global Analytics Data Scientist We are looking for a motivated individual to join our Global Analytics Data Science team. This position will have exposure to enterprise‑grade projects and tools across multiple lines of business and geographic regions, in the fields of Machine‑Learning, Artificial Intelligence, Statistical Modelling and Data. Qualifications Bachelor’s degree or equivalent experience in Mathematics, Statistics, Data Science, Computer Science, Software Engineering or adjacent fields. 3+ years of experience as a Data or ML Scientist, Analyst, Engineer. Adjacent roles such as Analytics Engineer, AI developer and AI researcher are also welcome. Experience in the insurance or financial services industry is preferred but not a must. Programming experience in Python for Data Science, Machine Learning, Artificial Intelligence and Statistics. Experience building statistical and machine learning models. Robust foundational knowledge of the mathematics and statistics behind models. Experience or knowledge in the process of deploying a model into production environments. Experience using SQL for data extraction and manipulation. Experience or knowledge in data engineering tools and standards. Strong communication skills – being able to translate advanced technical topics to non‑technical stakeholders and sustain highly technical conversations with other engineers and developers. A team player – collaborating with a variety of teams including MLEngineering, MLOps, Architecture, business stakeholders, data engineering, and other analytics and data science teams. Strong business acumen. Bonus Points Advanced degree in any of the fields mentioned above. Experience within the insurance industry. Experience working with APIs. Solid understanding and experience with Object Oriented Programming. Experience or awareness of the following tech stack: Github, Python, Databricks, VSCode, MLFlow, Jenkins, CI/CD pipelines, Azure, Snowflake. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology Industry Insurance Referral Program Referrals increase your chances of interviewing at Chubb by 2x. #J-18808-Ljbffr
