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| Job Location | Bengaluru/ Bangalore (Karnataka) |
| Education | Any Graduate |
| Salary | As per Industry Standards |
| Industry | CRM/CallCentres/BPO/ITES/Med.Trans, Financial Services/Stockbroking |
| Functional Area | IT Software : Software Products & Services |
| EmploymentType | Full-time |
Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, INLine Of Business: MIS MGMT (MIS MGMT)Job Category: Engineering & TechnologyExperience Level: Experienced HireAt Moodys, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are - with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Role and ResponsibilitiesWithin the Digital Finance team, the Data Scientist will be responsible for developing machine learning solutions for high-profile data science initiatives. The Data Scientist will notably focus on designing and training predictive analytics models, crafting signals from unstructured data, and creating high-value-added solutions converting quantitative predictions into actionable insights for the business.A successful candidate will demonstrate an excellent knowledge of the various steps of a machine learning project, including modeling and MLOps. The candidate should also be innovation-minded, result-oriented, autonomous, and able to deliver finished products, sometimes under short deadlines.The data science team works closely with technology teams, rating and research teams, and other departments. The candidate should therefore be able to collaborate across multiple divisions and communicate clearly and understandably to business representatives unfamiliar with data science. The Data Scientist will also strive to meet Moodys values: openness, diversity, inclusivity, respect, and a willingness to learn.Duties of the Data Scientist include:
Keyskills :
machine learning models predictive analytics solutions data ingestion pipelines python and sql expertise natural language processing algorithms git