Position Summary:

Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, established a dedicated center for advanced analytics & research in India. DnA Hyderabad a.k.a Global Advanced analytics and Research Center (GARC) is part of larger Data and analytics organization (DnA) of MetLife focused on scaling data governance, data management, data engineering, data science/machine learning/ artificial intelligence, visualization, techno-project management capabilities, enabling more cost-effective analytics operating model and increasing data and analytics maturity across the MetLife global community.

Role Value Proposition:

We are looking for highly motivated and enthusiastic individuals looking to build a career in the field of data science and analytics, to be a part of the data science team and work with amazing peer group that truly values data-driven decisions. DnA Hyderabad 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.
The position is required to deliver on data science projects under the guidance of Data Scientists and Sr. Data Scientists. Superior problem-solving ability, curiosity, strong coding mindset and attention to detail are the key success factors. Associate Data Scientists are the future of our Data and Analytics Community. We are looking for the smartest folks with insatiable curiosity

Job Responsibilities:

• Work with Senior Data Scientists and Data Scientists to understand the business problem and work with them to design effective solutions
• Develop appropriate moderate to advanced level statistical and ML algorithms, test the quality and iterate till desired results are obtained
• Works independently on intermediate level data preparation, modeling, evaluation, and deployment
• tasks, with supervision on advanced level tasks
• Test development/deployment code to ensure smooth & accurate Productionisation of ML models
• 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/Manager to present the insights and recommendations to stakeholders & create intuitive and detailed documentation as appropriate.
• Ensure coding as well as overall development best practices are implemented
• Contribute to collaboration and awareness in the global data and analytics community

Knowledge, Skills and Abilities

• BS/MS in Math, Statistics, Operations Research, social sciences, or related quantitative field
• Up to 3 years of work experience in the field of data and analytics
• Hands on knowledge of programming languages like R, Python, and
• database query languages like SQL
• Machine Learning – Good knowledge of machine learning methods and knowledge on statistical models like regression is an added advantage
• Moderate Knowledge of various data structures and open-source data products/technologies for development/deployment of ML models
• Proven ability in logical thinking and problem solving
• Proven ability to work in teams to deliver results
• Good written and oral communication, with the ability to communicate effectively with stakeholders
• Conceptual knowledge of Big Data technologies like Hadoop (Spark, Hive, Pig) is a plus

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.