Data Scientist

Aon; Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Global Wellbeing Days

Flexible work styles

Continuous learning opportunities

Job summary

Aon is hiring a Senior Data Scientist in Bengaluru to design and implement data products and AI solutions. With 5+ years' experience in AI and Data Science, you'll work with global teams to deliver scalable solutions in the insurance sector.

Key qualifications include hands-on knowledge of Python and Databricks, along with familiarity with insurance data and machine learning workflows. The role offers a hybrid work style and comprehensive benefits package, including flexible working arrangements and continuous learning opportunities.

Qualifications

• 5+ years of experience as a Data Scientist delivering end-to-end data science solutions.
• Experience with Databricks and building production-grade pipelines.
• Bachelor's/Master's in a quantitative field required.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines.
• Collaborate with internal teams to implement data solutions.
• Optimise machine learning models and technologies.

Skills

AI/Data Science

Python

Databricks

Machine Learning

Insurance/Insurtech experience

Education

Bachelor's/Master's degree in Computer Science or related field

Tools

ETL/ELT pipelines

Vector databases

Azure AI Foundry

Job description

Senior Data Scientist

Solution Line: D&A Core Engineering

Position type: Full Time

Work Location: Bengaluru

Working style: In Office / Hybrid

People Manager role: No

About the role

Aon 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.

Key Tasks & Responsibilities

• 5+ years of experience as an AI/Data Scientist delivering end‑to‑end data science and machine learning solutions, with hands‑on development in Python.
• Must have: Databricks experience (Delta Lake, Spark, notebooks/jobs, MLflow, Unity Catalog), including building production‑grade pipelines and ML workflows.
• Must 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.
• Design, build, and maintain ETL/ELT pipelines and curated datasets; ensure data quality, lineage, and observability across batch/streaming workloads.
• Fine‑tune and optimise LLMs (parameter‑efficient fine‑tuning, prompt tuning) and implement Retrieval‑Augmented Generation (RAG) with robust evaluation (quality, safety, latency, cost).
• Collaborate with internal teams to design and implement robust, scalable data and GenAI solutions.
• Ability to build and scale products from scratch.

Good‑to‑Have Skills

• Experience building and deploying agentic workflows including tool/function calling and guardrails.
• Experience orchestrating data/ML workflows (Databricks Workflows, ADF) and implementing CI/CD for notebooks, jobs, and pipelines.
• Strong understanding of analytics engineering/BI concepts (dimensional modelling, semantic layers, dashboarding) and partnering with stakeholders to define metrics.
• Hands‑on with vector databases and search and building document ingestion/indexing pipelines for RAG.
• Experience with LLM evaluation/experimentation (A/B tests, offline eval sets, hallucination checks), prompt/RAG testing, and responsible AI practices.
• Experience with GenAI platforms such as Databricks Genie Spaces, Azure AI Foundry, Microsoft Copilot Studio, and/or Gemini for Google Workspace.
• Experience applying data science and ML to insurance use cases such as claims analytics, risk scoring, pricing models, or loss reserving is a strong differentiator.

Education and Experience

Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, Software Engineering, or related quantitative field.

Personal Attributes

• A team player with good interpersonal skills.
• Strong problem‑solving and communication skills.
• A self‑motivator and a collaborative team player.
• Excellent time management skills and the ability to assume leadership roles when necessary.
• Agile, action oriented and a quick learner.
• Out of box thinker.

Benefits

Our comprehensive benefits package includes two Global Wellbeing Days per year. We provide a Smart Working model enabling flexible work styles and support work/life balance. We also offer continuous learning opportunities.