{"id":3214055,"url":"https://alion.io/job/aon-actuarial-data-scientist","title":"Actuarial Data Scientist","company":{"id":21106,"name":"Aon","domain":"aon.com","url":"https://alion.io/company/aon","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"A/B Testing","optional":true},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Gemini","optional":true},{"name":"Google Workspace","optional":true},{"name":"Hallucination","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-10-24T17:37:48Z","employer_posted_date":null,"last_verified_at":"2026-10-24T17:37:48Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Title- Senior Actuarial Data Scientist\n\nPosition type- Full Time\n\nWork Location- Bengaluru\n\nWorking style- Hybrid\n\nShift Time- 12PM to 9PM\n\nPeople Manager role: No\n\nRequired education and certifications critical for the role- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, Software Engineering, or related quantitative field.\n\nRequired Years Of Experience –\n\n6-10 years of work experience in relevant field\n\nAON IS IN THE BUSINESS OF BETTER DECISIONS\n\nAt Aon, we shape decisions for the better to protect and enrich the lives of people around the world.\n\nAs an organization, we are committed to our purpose as one firm, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed.\n\nInformation About The Business\n\nAon Data & Analytics team is hiring a Senior AI/Data Scientist, based in Bangalore. You will work with global, cross-functional teams to design, build, and scale data products and generative AI solutions that power better decisions for Aon and our clients across the insurance and Insurtech landscape.\n\nKey Tasks & Responsibilities\n\n5+ years of experience as an AI/Data Scientist delivering end-to-end data science and machine learning solutions, with hands-on development in Python.\nMust have: Databricks experience (Delta Lake, Spark, notebooks/jobs, MLflow, Unity Catalog), including building production-grade pipelines and ML workflows.\nMust have: Insurance/Insurtech industry experience — practical exposure to insurance data, workflows, and business problems. Familiarity with frequency/severity modelling concepts and actuarial analytics is highly valued (formal actuarial qualifications are not required).\nDesign, build, and maintain ETL/ELT pipelines and curated datasets; ensure data quality, lineage, and observability across batch/streaming workloads.\nFine-tune and optimize LLMs (parameter-efficient fine-tuning, prompt tuning) and implement Retrieval-Augmented Generation (RAG) with robust evaluation (quality, safety, latency, cost).\nCollaborate with internal teams to design and implement robust, scalable data and GenAI solutions.\nAbility to build and scale products from scratch.\n\nGood-to-Have Skills\n\nExperience building and deploying agentic workflows including tool/function calling and guardrails.\nExperience orchestrating data/ML workflows (Databricks Workflows, ADF) and implementing CI/CD for notebooks, jobs, and pipelines.\nStrong understanding of analytics engineering/BI concepts (dimensional modeling, semantic layers, dashboarding) and partnering with stakeholders to define metrics.\nHands-on with vector databases and search and building document ingestion/indexing pipelines for RAG.\nExperience with LLM evaluation/experimentation (A/B tests, offline eval sets, hallucination checks), prompt/RAG testing, and responsible AI practices.\nExperience with GenAI platforms such as Databricks Genie Spaces, Azure AI Foundry, Microsoft Copilot Studio, and/or Gemini for Google Workspace (designing assistants, grounding, integrations, and governance).\nExperience applying data science and ML to insurance use cases such as claims analytics, risk scoring, pricing models, or loss reserving is a strong differentiator.\n\nPersonal Attributes\n\nA team player with good interpersonal skills.\nStrong problem-solving and communication skills.\nA self-motivator and a collaborative team player.\nExcellent time management skills and the ability to assume leadership roles when necessary.\nAgile, action oriented and a quick 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