Senior Data Scientist

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details:

• Function/Department: Advanced Analytics
• Location: Bangalore, India
• Employment Type: Full-time
• Role Overview – Senior Data Scientist

Responsibilities:

• Develop and deploy end-to-end machine learning solutions for insurance use cases such as claims triage, fraud detection, reserve estimation, underwriting risk scoring, and subrogation identification.
• Build and operationalize LLM-powered applications, including claim summarization, adjuster assistance tools (copilots), intelligent document extraction, and RAG pipelines.
• Fine-tune, prompt-engineer, and adapt foundation models (e.g., GPT-4, Gemini, LLaMA) for domain-specific applications.
• Design advanced NLP pipelines to extract structured insights from unstructured sources (e.g., claim notes, medical records, police reports).
• Explore and evaluate cutting-edge agentic AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) for advanced use cases.

Data Engineering & Analytics

• Construct scalable data pipelines using Databricks (Delta Lake, MLflow, Apache Spark) for large, diverse insurance datasets.
• Perform efficient data preparation, feature engineering, and transformation using Python and SQL (Snowflake/Databricks SQL).
• Collaborate with cross-functional teams to maintain clean feature stores and cataloged assets.
• Translate raw insurance data (claims, policy, billing) into machine learning–ready features.
• Write robust unit and integration tests to ensure ML pipeline stability and reliability

MLOps & Model Productionization

• Implement reliable CI/CD pipelines for ML workflows using platforms like GitHub Actions, Azure DevOps, or Databricks Workflows.
• Manage the ML lifecycle; automate experiment tracking, versioning, staging, and deployment with MLflow and model registries.
• Monitor models in production for drift and performance, implementing automated alerting and retraining as needed.

Requirements :

• 3–6 years' hands-on experience in data science, machine learning, or AI engineering.
• Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
• Strong SQL skills — experience with complex queries, window functions, and query optimization.
• Practical experience with Databricks (notebooks, Delta Lake, Spark, MLflow, Workflows) or similar analytics platforms.
• Demonstrated experience in building, deploying, and maintaining LLM and RAG-based applications (including prompt engineering, vector databases, e.g., Pinecone, FAISS, Vertex AI Vector Search, Chroma).
• Solid understanding of CI/CD practices, including automated testing, deployment pipelines, and promotion workflows.
• Version control expertise using Git (branching strategies, pull requests, code review).
• Experience with VS Code for Python development, Jupyter notebooks, and remote environments.
• Strong grasp of ML fundamentals: supervised/unsupervised learning, feature engineering, model evaluation, and validation.

Why Chubb?

Join Chubb to be part of a leading global insurance company!

Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

• Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
• A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025
• Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
• Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
• Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:

• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.