Senior Data Scientist

Chubb; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Benefits offered by this job

Hybrid Work Environment

Flexible work arrangements

Health coverage and wellbeing programs

Job summary

Chubb India is seeking a Senior Data Scientist I to join Advance Analytics. You will work with business partners globally to define scope, deliver models, and present results. You will apply NLP, ML, deep learning and GenAI to extract features from unstructured data and develop scalable pipelines that meet KPIs postproduction.

You will mentor junior members and stay abreast of AI developments while handling multiple priorities in a fast-paced environment.

Qualifications

• Strong foundation in ML, statistics, and data science with hands-on experience.
• Proficiency in Python, SQL and working with relational/NOSQL DBs.
• Experience building NLP/GenAI/LLM solutions and prompt engineering is preferred.
• Proficient with Databricks, cloud platforms, and ML/AI workflows.

Responsibilities

• Collaborate with global partners to define project scope and deliverables.
• Develop models using NLP, ML, deep learning and GenAI to extract features from unstructured data.
• Produce explainable pipelines and reusable modeling assets across projects.
• Mentor junior team members and stay current with AI/ML advances.

Skills

Machine learning

Statistics

Deep learning

GenAI

NLP

Python

SQL

Databricks

Cloud platforms

Git

REST APIs

Agile

Education

Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field

Tools

Databricks

REST APIs

Git

Cloud platforms

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 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.

• Job Title: Senior Data Scientist I
• Function/Department: Advance Analytics
• Employment Type: Full-time

Key Responsibilities:

• Work with business partners globally to define the scope and requirements of the project, manage deliverables against timelines, implement models and solutions and present of results.
• Use broad spectrum of NLP, Machine Learning, including supervised and unsupervised learning, deep learning and GenAI techniques to extract impactful features from unstructured data. Perform data validation, preprocessing, and exploratory data analyses.
• Develop and implement models that help with automating the business processes such as Risk Identification, Claims, Research; Ensure that the model can meet the desired KPIs postproduction.
• Build explainable pipelines using descriptive and inferential statistics. Develop adaptable modelling frameworks and reusable assets that can be applied across various projects.
• Be a thought leader and generate ideas / novel approaches to solve complex business problems.
• Stay abreast of the developments in the rapidly changing field of AI and machine learning.
• Handle stakeholder requests and perform work with little to no assistance. Ability to handle multiple projects with dynamic priorities.
• Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats.
• Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise.
• Gain deeper understanding of Chubb’s business and develop expertise on multiple lines of business.

Skills and Qualifications:

• Strong foundation in machine learning, statistics, and data science, including supervised/unsupervised learning, deep learning, transformer models, GenAI, model tuning and evaluation, with a minimum 3 years of hands-on experience.
• Hands-on experience in Python, SQL and working with Relational and NOSQL Databases; familiarity with data engineering, data transformation, analysis, and visualization.
• Good experience building NLP, GenAI, LLM, and Agentic AI solutions; knowledge of prompt engineering techniques and evaluation strategies is preferred.
• Proficiency with Databricks, cloud platforms, and modern ML/AI development workflows. Knowledge/ Experience in Big data technologies will be an advantage.
• Experience with ML libraries and frameworks such as scikit-learn, MLlib, and related tools.
• Ability to work with unstructured data, perform data validation/preprocessing, and develop scalable, reusable model pipelines.
• Strong problem-solving skills with the ability to apply statistical and analytical methods to business use cases.
• Experience with Git, REST APIs, and collaborative development practices such as Agile is a plus.
• Strong communication skills with the ability to present findings to both technical and non-technical stakeholders.
• Self-driven, able to manage multiple priorities independently, and comfortable working in a fast-paced environment.
• Ability to perform independent research to identify new methodologies and alternative approaches to varied business problems.
• Bachelor’s or advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Prior experience in insurance or other regulated industries 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.