Urgent Openings For Senior Data Scientist Role

Role & responsibilities

Should have 6-8 years of experience in Insurance/Banking/Lending/Credit Bureau or Financial sector

• Extensive hands-on experience in working on Machine Learning models

• Extensive hands-on experience in working with Excel, SQL, PowerBI

• Extensive hands-on experience in working with Python, Pandas, Numpy, Seaborn, data modeling, feature engineering and developing ML models

• Should have good knowledge and working experience in creating reporting datasets • Should have good knowledge and working experience in story-telling and presenting actionable insights to stake holders

• Good to have knowledge of Bank Statement, Credit data and other data sources used in Fraud Analysis

• Good to have knowledge on AWS, Sagemaker, Amazon S3, Cloudwatch • Good to have knowledge in CI/CD pipelines, ML ops.

Please share the resume @neelam.kumari1@gmail.com