Data Scientist - Data AI

ABOUT THE ORGANIZATION

StarUnion Dai-ichi Life Insurance (SUD Life) is a joint venture formed in 2007between two major Indian PSU banks - Bank of India and Union Bank of India -and Japan's Dai-ichi Life Holdings.

We haveserved over 15 million customers through more than 19, 500 bank branches acrossIndia. Our network includes 1, 950 rural bank branches, ensuring insurancereaches remote areas.

SUD Lifefocuses on creating insurance products that meet different customer needsacross all segments of society. With our promoters' 100+ years of commitmentand combined strengths, we aim to become a leading name in India's lifeinsurance sector while delivering value to all stakeholders.

Establishedin 1902, Dai-ichi Life is the second largest life insurance company of Japanand is one of the top ten life insurers globally, renowned for sound productknowledge, superior asset management skills, and strong operationalcapabilities to manage life insurance businesses.

At SUDLife, our customers are our priority. We are committed to providing insuranceproducts that serve our customers unique needs across various strata ofsociety and geographies.

Thepromoters of SUD Life have a long-term commitment towards their customers andstakeholder. These strengths and values have been inherited by SUD Life, as wemake our way to becoming the next rising star in the Indian life insurancebusiness, promising exceptional value to all.

Our Talent Philosophy

At Star Union Dai-ichi Life Insurance, we will ensure to nurture our people and provide opportunities to learn, succeed and build careers to the best of their abilities, thus creating andunlocking value for self, the organization, and the society at large.

About the Role

Role: Data Scientist - Data & AI

Location: Navi Mumbai (Head Office)
Department: IT - Strategy, Data & AI

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and manage a team of AI/ML engineers and data scientists, fostering a high-performance culture
• Develop and implement AI/ML strategies aligned with business goals

AI/ML & Generative AI Solutions

• Design, develop, and deploy AI/ML models for underwriting, claims processing, fraud detection, customer service, and personalized marketing
• Explore and implement Generative AI techniques for product development, risk assessment, and customer engagement

Data & Governance

• Oversee data collection, preprocessing, and analysis to ensure quality and integrity
• Ensure compliance with industry regulations and ethical standards

Collaboration & Adoption

• Work closely with cross-functional teams (Product, Actuarial, IT) for seamless integration and adoption
• Drive transition of successful POCs into production
• Implement change management strategies to ensure stakeholder buy-in

Innovation & Research

• Lead innovative analytics solutions and Proof-of-Concept (POC) initiatives
• Stay updated on emerging AI/ML and Generative AI technologies
• Conduct feasibility studies to evaluate business impact

Performance Monitoring

• Establish monitoring frameworks and KPIs to measure model performance and business impact

Qualifications

• Education: Masters degree in Computer Science, Data Science, Machine Learning, or related field
• Experience: Minimum 4 years in AI/ML, including at least 2 years in a leadership role
• Technical Skills: Proficiency in Python, R, or Java; experience with TensorFlow, PyTorch, scikit-learn
• Cloud Technologies: Azure (preferred), AWS, or GCP
• Domain Expertise: Strong understanding of the insurance domain
• Project Management: Experience managing end-to-end AI/ML projects
• Communication: Ability to explain technical concepts to non-technical stakeholders
• Innovation Mindset: Proven track record in driving AI/ML and Generative AI initiatives