Data Scientist

Position Title:

Senior Data Scientist (IC)

Function, Responsibility Level:

Reports to (Responsibility Level):

GG13 Director Data science or

GG12 Lead Data Scientist

Supervises:

Location:

Hyderabad/Noida

Global Grade: 10

Cost Center (85 series):

####

Complexity:

PID/s Load Mapping:

Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.

Role Value Proposition:

We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife’s enterprise functions and lines of businesses across markets.

This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.

• Hands on development and implementation of AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization.
• Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
• Perform data exploration, machine learning models development & active collaboration with cross functional teams
• Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
• Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
• Drive innovation within teams, by enhancing existing solutions and designing new ones.

Education

Bachelor’s/master’s degree in an information technology/computer science or relevant domain

Technology Skills

Internal Contacts

(And purpose of relationship):

MetLife GTO Engineering, Digital Office and Global Data and analytics

Business

GOSC Leadership

External Contacts

(And purpose of relationship) – If Applicable

Vendors

Consultants