Data Scientist

Job Description

Position Summary 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 multiyear 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. Job Responsibilities a. Hands on development and implementation of AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization. b. Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes. c. Perform data exploration, machine learning models development & active collaboration with cross functional teams d. Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization. e. Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning. f. Drive innovation within teams, by enhancing existing solutions and designing new ones. Knowledge, Skills, and Abilities 3-5 years of hands-on experience in Analytics, data science or similar function Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark, & have experience in machine learning libraries & frameworks such as Sklearn, TensorFlow. Strong hands-on expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests & other ensemble methods. Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc. Experience in technologies like Azure, AWS, and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus. Ability to meet deadlines for product deliverables in a timely, proactive, and entrepreneurial manner. Analytical and problem-solving skills to ideate. Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management. Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.