Lead Data Scientist

Position Summary

MetLife established a Data and Analytics center in Hyderabad to scale and mature Data and Analytics capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Data and Analytics’ talent strategy with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The team in India mirrors the global DnA team with focus across Data science, Enterprise business intelligence, Data Governance, Data Quality, Solutions Engineering and Agile Delivery. In partnership with Business, IT, DnA colleagues in other geographies, the team has been delivering data & analytics solutions for the Enterprise across lines of businesses, corporate functions, markets, and products.

Role Value Proposition

To lead the development, delivery and execution of end-to-end data and analytics solutions for key insurance business functions such as claims service &operations, customer acquisition, customer engagement & retention, distribution, investments, marketing, risk management and underwriting. The role will collaborate with partners from Business, operations, technology, and risk management functions to develop scalable and responsible AI solutions.

Job Responsibilities:

• Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery.
• Contribute to hands-on development of data & analytics solutions.
• Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement.
• Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise.
• Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management.
• Deliver products and solutions in a timely, proactive, and entrepreneurial manner.
• Institutionalize best practices, contribute to research and experimentation efforts.
• Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.
• People leadership: talent acquisition, coaching and mentoring team

Education, Technical Skills & Other Critical Requirement

• Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred;
• 10-14+ years of relevant experience in data and analytics product & solution delivery
• Traditional as well as modern statistical and machine learning techniques
• Azure ML, OpenAI, Python, PyTorch , SQL, and TensorFlow
• Experience working with large and complex internal, external, structured and unstructured datasets.
• Responsible deployment of AI. Developing and maintaining detailed technical documentation.
• Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills
• Agile methodologies & tools.
• Excellent written, verbal communication skills and presentation skills; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management.
• Industry knowledge about emerging AI trends, AI tools and technologies.

Preferred:

• Familiarity of new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs) and applications
• Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI in cloud
• Management consulting experience
• Data management, Data engineering, Data governance, Data operations, Data on Cloud

MetLife:

MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.

We are ranked #44 on the Fortune 500 list for 2019. In 2019, we were named to the Dow Jones Sustainability Index (DJSI) for the fourth year in a row. DJSI is a global index to track the leading sustainability-driven companies.      

MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world.

MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.