Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN

Line Of Business: MIS MGMT(MIS MGMT)
Engineering & Technology

Experience Level: Experienced Hire
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. Excellent knowledge of machine learning project steps, including modeling and MLOps.
Experience in machine learning, with a solid knowledge of algorithms and principles.
Proven track record of successfully modeling, building, and putting in production machine learning applications.
Deep understanding of the tools explaining machine learning predictions.
Expertise in Python and SQL.
Excellent communication skills to explain complex analytical concepts to business representatives unfamiliar with data science.
Master's degree in data science, computer science, statistics, mathematics, or a related quantitative field.

Develop machine learning solutions for high-profile data science initiatives.
Design and train predictive analytics models, craft signals from unstructured data, and create high-value-added solutions converting quantitative predictions into actionable insights for the business.
Select and train machine learning models for predictive analytics, sometimes with relatively small and unbalanced datasets.
Build solutions predicting activities and extracting signals from multiple data sources.




Design explainability tools understandable by non-data scientists.
Collaborate with tech teams to create data ingestion pipelines connected to sources spread across different parts of the organization and delivered in varying formats.
Collaborate with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning models.
Our Digital Finance team is responsible for developing innovative machine learning solutions to enhance Moody's digital presence and improve customer engagement. By joining our team, you will be part of exciting work in predictive analytics, unstructured data processing, and creating actionable insights for the business.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

📌 Data Scientist (Python, ML, SQL) (Bengaluru)
🏢 Moody's
📍 Bengaluru