Actuarial Data Scientist
Aon plc (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable AI/Data science and machine learning solutions, including production-grade pipelines using Databricks.
- Fine-tune large language models (LLMs) with techniques like parameter-efficient fine-tuning and prompt tuning, implement Retrieval-Augmented Generation (RAG) with evaluation of quality, safety, and latency.
- Collaborate with global cross-functional teams to develop data products and generative AI solutions for insurance and Insurtech clients.
Minimum Requirements
- 6-10 years of relevant experience as an AI/Data Scientist with hands-on Python development.
- Experience with Databricks platform (Delta Lake, Spark, notebooks/jobs, MLflow, Unity Catalog) and building ML workflows.
- Practical insurance/Insurtech domain experience, including familiarity with frequency/severity modelling and actuarial analytics concepts.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Software Engineering, or related quantitative field.
Ideal Candidate Profile
- Demonstrated ability to build and scale AI/data science products from scratch in a production environment, preferably in insurance or Insurtech sector.
- Experienced in designing and managing robust ETL/ELT pipelines ensuring data quality and lineage in batch and streaming contexts.
- Familiarity with advanced ML workflow orchestration (e.g. Databricks Workflows), CI/CD for ML pipelines, and modern GenAI platforms and practices.