Lead Data Scientist

Chubb External; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Chubb India is seeking a Lead Data Scientist to join our Advanced Analytics team in Bangalore. You will guide the development of bleeding edge AI products and work with a team of data scientists to deliver impactful solutions.

You will lead modeling efforts on the Azure platform, drive state-of-the-art techniques, ensure code quality and security, and build scalable tools. A background in ML, Python, and cloud deployment is essential, with an emphasis on collaboration and innovation.

Qualifications

• Lead data scientist responsible for delivering bleeding edge AI solutions.
• Strong knowledge of ML modeling, feature engineering, and model deployment.
• Experience with cloud platforms and code quality standards.

Responsibilities

• Design, build, and test machine learning models on Azure platform to solve business challenges.
• Research state-of-the-art modeling approaches including zero-shot/few-shot learning and embeddings.
• Ensure high quality code that meets objectives, quality standards and security guidelines.
• Build reusable tools to streamline the modeling pipeline and share knowledge.
• Manage project stakeholder expectations and communications on progress.
• React to shifting priorities without compromising deadlines and momentum.

Skills

Lead data scientist

Azure

Machine learning

Python

Tools

Azure platform

Git

Job description

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

Chubb is looking for a Lead data scientist to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI products.

Responsibilities

• Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges on Azure platform.
• Researching & implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
• Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
• Building reusable tools to streamline the modeling pipeline and sharing knowledge.
• Manage project stakeholder expectations and issue communications on progress.
• React to shifting priorities without compromising deadlines and momentum