Position Summary:

Continuing with the tradition of innovation, MetLife, as part of its Digital Office function, is establishing a dedicated center for advanced analytics & research in India. The setup of Global Analytics and Research Center (GARC) is a key multi-year strategic initiative focused on scaling data science capabilities, enabling more cost-effective analytics operating model and increasing data science maturity across the MetLife global community.

Role Value Proposition:

Driven by passion, purpose and a zeal to provide customer centric solutions, we are looking for you - data science enthusiast - to join GARC, where you can make a difference by being part of the Data Science team and creating cutting-edge solutions to high impact business problems. GARC will deliver data driven decisions across all critical business functions such as customer engagement, distribution, underwriting, claims operations, risk management, products and tackle hard, open-ended problems. 

Data Scientist is at the heart of Analytics operations. The Data Scientist is expected to understand requirements of analytics use case, independently perform analysis, develop models, quality check, interpret results and present back to the stakeholders. Besides sound conceptual understanding and good programming skills, having a keen sense of business and interpreting the model outputs effectively is a key success criterion.

Job Responsibilities:

• Work with Senior Data Scientists and Managers to understand the business problem and translate it into an analytical problem
• Perform Exploratory Data Analysis and decide what ML models fit the requirement
• Develop appropriate algorithms, test the quality and iterate till desired results are obtained
• Extract analytical insights and translate them to business insights; validate the insights with Manager and continuously improve upon interpretation skills
• Work with the Sr. Data Scientist and Manager to present the insights and recommendations to stakeholders
• Ensure coding as well as overall development best practices are implemented
• Create intuitive and detailed documentation as appropriate
• Contribute to collaboration and awareness in the global analytics community

Knowledge, Skills and Abilities

• 5+ years of working experience in the field of data and analytics
• Proficiency in programming and scripting languages like Python, R, and SPSS is required; PySpark is a plus
• Expertise in building statistical models including (but not restricted to) Linear Regression, Logistic Regression, Random Forest and time series modelling
• Strong conceptual knowledge of Big Data technologies like Hadoop (Spark, Hive, Pig)
• Good written and oral communication, with the ability to communicate effectively with stakeholders
• Prior experience in BFSI domain is a plus
• Bachelor’s degree in a quantitative field required; Masters preferred

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.