Digit Insurance
Website:
godigit.com
Job details:
Roles and Responsibilities:
· Manage multiple ML projects from conception to deployment.
· Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver solutions.
· Ensure timely delivery of projects while maintaining high-quality standards.
· Design, develop, and optimize ML models for various use cases like policy underwriting, claims operation, marketing etc
· Conduct experiments, perform A/B testing, and refine models based on feedback and performance metrics.
· Develop pipelines for data extraction, transformation, and loading (ETL) specific to ML tasks.
· Work closely with engineering teams to integrate ML solutions into products.
· Strong leadership and project management abilities.
· Effective communication and interpersonal skills.
Skills Required:
· Proficiency in Python programming languages
· Hands on experience in SQL and ETL development
· Having implemented ML projects using Regression, Classification & Unsupervised Learning models is a must
· Framework for deep learning such as TensorFlow, PyTorch and Keres used for project implementation.
· Understanding of ML deployment process with experience in working with a MLOPs set up is a plus
· Experience with Cloud Platforms (AWS or Azure), and Containerization technologies such as Docker.
· Knowledge of RESTful API and microservice architecture for deploying ML models.
· Experience in the BFSI industry, specifically in insurance processes such as quote generation, policy issuance, finance, and claims management are a plus
· Strong understanding of Agile methodology and experience working in Agile environments.
· Strong Business Acumen & experience in deriving insights from Data
Qualifications:
· Bachelor’s or Master’s degree in computer science, Data Science, Statistics or related Field
· 8-12 Years of experience in data science with a focus on ML
· Proven track record of leading and delivering successful ML Projects
· Experience in the Insurance or Financial services Industry is a plus
Click on Apply to know more.