Senior Data Scientist I

Chubb; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid Work Environment

Employee Assistance Program (EAP)

Yearly Free Health campaigns

Job summary

Chubb India is seeking a Senior Data Scientist for the Advanced Analytics team in Bangalore. You will build models, perform quantitative analysis, and deploy ML solutions to support pricing and business decisions in a global insurer environment.

The role requires strong background in statistics, ML, and data analysis, with collaboration across cross-functional teams. Opportunity to work with cutting-edge tools and data-driven challenges.

Qualifications

• Master’s degree in Statistics, Mathematics, Analytics, or Computer Science is preferred.
• Strong ML concepts incl. GLM, Regression, Random Forest, XGBoost, SVM.
• Proficient in Python/Pyspark with data analysis/modeling.
• 4–6 years of model-building work experience.
• Desirable knowledge of big data technologies.
• Must have strong problem-solving and ability to apply new methodologies.
• Experience in Actuarial Science and Insurance is advantageous.
• Advanced degree in engineering/computer sciences/data science/statistics or actuarial exams.

Responsibilities

• Work with business partners globally, manage deliverables against timelines, present results and implement models.
• Synthesize data to uncover trends, assess data impact on usage, and make recommendations.
• Build GLM pricing and ML models for property and casualty products.
• Research and implement statistical methodologies for business problems.
• Develop explanatory and forecasting models using descriptive/statistical methods.
• Perform data validation, preprocessing, and exploratory analyses.
• Communicate goals, approaches, and insights to technical and non-technical audiences.
• Collaborate with stakeholders to scope problems and develop robust model solutions.
• Maintain relationships with Product, Actuarial, IT, and analytics peers.
• Create adaptable modelling frameworks and reusable assets.

Skills

Python

Pyspark

Machine learning

Statistical modelling

Data analysis

Cross-functional collaboration

Communication

Education

Master's degree in Statistics/Mathematics/Analytics/CS

Actuarial science/Insurance knowledge (advantage)

Engineering/CS/Data science degree or actuarial exams

Tools

Azure Databricks

scikit-learn

XGBoost

H2O

Git

Job description

JOB DESCRIPTION

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

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

We are seeking a Senior Data Scientist for the Advanced Analytics team, who will be at the forefront of developing new innovative data driven solutions with cutting edge machine learning algorithms. As a Senior Data Scientist, you will build machine learning models, perform quantitative data analysis to enable organizational decision making and develop solutions to complex business problems and create value for the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving. Building and deploying predictive models in support of our pricing strategy will be a focus area. The ideal candidate will possess a strong background in statistical modelling, machine learning, and data analysis. In this role, you will collaborate with cross-functional teams to extract insights from complex data sets, develop predictive models, and implement innovative solutions that enhance business performance.

Responsibilities

• Work with business partners globally, manage deliverables against timelines, presentation of results and implement the model.
• Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement.
• Build GLM pricing models/machine learning models in support of various property and casualty insurance products.
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem.
• Build explanatory and forecasting models using descriptive and inferential statistics, and regression analysis.
• Perform data validation, preprocessing, and exploratory data analyses.
• Communicates analytical goals, approaches, outcomes, and insights to both technical and non-technical audiences.
• Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics.
• Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats.
• Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups.
• Develop adaptable modelling frameworks and reusable assets that can be applied across various projects.

Qualifications

• Master’s degree in Statistics, Mathematics, Analytics, or Computer Science is preferred.
• Sound understanding of ML concepts/ Probabilistic Models, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of constraint Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models/sound knowledge of GLM, Regression/ Logistic Regression, Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks.
• Proficient in Python/Pyspark with strong capabilities in data analysis/modelling.
• Proficient in Python fundamentals, OOP and design patterns, Packaging and environment management: pip, virtualenv/conda, setuptools, Git workflow, branching, PRs
• Explore data and communicate insights clearly to non-technical as well as technical audience.
• Expertise in python machine learning tools and libraries (scikit-learn, h2o, R/MLlib or similar etc.)
• 4-6 years of work experience in building models is required.
• Desirable to have knowledge/ experience in big data technologies
• Must have strong problem-solving skills.
• Should be adept at research and must look to apply new methodologies to varied situations.
• Experience in Actuarial Science and Insurance will be an advantage.
• Must possess an advanced degree in engineering/computer sciences/data science/business analytics/statistics/mathematics or passed actuarial exams.

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.