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País
India
Acuerdo de trabajo
Tiempo completo
Esquema de Trabajo
Híbrido
Asistencia de reubicación disponible
No
Fecha de publicación
05-Ago-2025
ID del trabajo
10935

Descripción y requisitos

 

Position Summary

 

 

MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

 

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.

 

 

Job Responsibilities

 

 

·       Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills 

·       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 with Big Data platforms – Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus

·       Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus 

 

 

Knowledge, Skills and Abilities

 

 

 

Education

Bachelor’s degree in a quantitative field required; Masters or PHD preferred

 

 

Experience

 

  • 5-8 years of experience in insurance analytics, data science or similar function 
  • 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 

 

 

Acerca de MetLife

Reconocida en la lista de la revista Fortune de las "Empresas más admiradas del mundo" de 2023, MetLife, a través de sus subsidiarias y afiliadas, es una de las empresas de servicios financieros líderes en el mundo; proporcionando seguros, anualidades, beneficios para empleados y gestión de activos a clientes individuales e institucionales. Con operaciones en más de 40 mercados, ocupamos posiciones de liderazgo en Estados Unidos, América Latina, Asia, Europa y Medio Oriente.

Nuestro propósito es simple: ayudar a nuestros colegas, clientes, comunidades y al mundo en general a crear un futuro más seguro. Unidos por un propósito y guiados por la empatía, estamos inspirados para transformar el próximo siglo en servicios financieros. En MetLife, es #AllTogetherPossible. ¡Únete a nosotros!