Description and Requirements
Position Summary
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. 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.
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 Analytics Community. We are looking for the smartest folks with insatiable curiosity.
Job Responsibilities
- 5-8 years of experience in insurance analytics, data science or similar function
- Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills
- Experience with Big Data platforms - Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment
- Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc.
- Good written, oral communication with ability to communicate effectively with stakeholders
- Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus
- Mentoring skills are considered as a plus
- Experience in Big Data technologies like Azure, AWS and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus
- Bachelor's degree in a quantitative field required; Masters or PHD preferred
Knowledge, Skills and Abilities
Education
- 5-8 years of experience in insurance analytics, data science or similar function
Experience
- Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes
- Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance
- Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them
- Ensure coding standards as well as designing standards to ensure reusability
- Drive innovation by enhancing existing solutions and designing new ones
- Build collaboration and awareness in the global analytics community
About MetLife
Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, 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 individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Top Skills
What the Team is Saying
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What We Do
Named one of Fortune’s “World’s Most Admired Companies,” MetLife is leading the global transformation of an industry we’ve defined for more than 150 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife’s building a workforce of diverse and empowered voices that all belong. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
