Lead 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 – Lead Data Scientist

   

   

We are seeking a Senior Data Scientist with 5+ years of experience to lead and deliver impactful data science solutions. The ideal candidate should possess deep expertise in machine learning algorithms(GLM, Neural Networks) which include EDA, feature engineering, and proficiency in coding using Python, SQL, and comfortable on cloud-based platforms like Databricks (must). This role emphasizes strong conceptual understanding, clear interpretation and communication of outcomes, team building, and talent development. Experience with big data platforms, neat documentation, coding best practices, collaborative development using GitHub, and robust model monitoring is essential.

Responsibilities:

• Collaborate with stakeholders to define business problems and translate them into data science projects.
• Gather, clean, and preprocess data from multiple sources using Python and SQL on platforms like Databricks.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and data quality issues.
• Engineer features to enhance model performance and interpretability.
• Select, develop, and validate machine learning models (GLM, GenAI, neural networks).
• Monitor model performance post-implementation, ensuring accuracy, stability, and business relevance over time.
• Maintain clear, organized, and comprehensive documentation for all data science processes, code, and methodologies.
• Use GitHub for version control, code review, and collaborative development.
• Work closely with business partners to gather requirements and ensure alignment on project goals.
• Present complex technical findings in a clear, actionable manner to both technical and non-technical audiences.
• Provide recommendations based on model insights to drive business decisions.
• Foster a collaborative, inclusive, and high-performing team environment.
• Mentor and coach junior data scientists, supporting their technical and professional growth.
• Lead knowledge sharing sessions and promote best practices in data science and analytics.

 

• 5+ years of experience in data science/model development roles.
• Advanced proficiency in Python and SQL.
• Hands-on experience with Databricks (required) and big data platforms (e.g., Spark, Hadoop).
• Proficiency in collaborative development using GitHub (version control, code review, pull requests).
• Deep knowledge of machine learning techniques, including:
  • Generalized Linear Models (GLM)
  • Generative AI (GenAI)
  • Neural networks (TensorFlow, PyTorch, or similar frameworks)
• Strong background in EDA, feature engineering, and model validation.
• Demonstrated experience with the full model development lifecycle: data acquisition, EDA, feature engineering, modeling, validation, and especially monitoring model performance.
• Excellent conceptual understanding of statistical and machine learning principles, with the ability to interpret and explain outcomes.
• Outstanding communication and presentation skills, with experience educating and influencing stakeholders at all levels.
• Proven team building, collaboration, and talent management skills.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field; PhD is a plus.

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.

Join Us

With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.

Apply Now: Chubb India Career page