Data Scientist

**Location(s)**:

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

**Line Of Business**: MIS MGMT(MIS MGMT)

**Job Category**:

- Engineering & Technology

**Experience Level**: Experienced Hire

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s 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.

Role and responsibilities
Within the Digital Finance team, the Data Sciencist 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.
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,
multiple divisions and communicate clearly and understandably to business
representatives unfamiliar with data science.
The Data Sciencist will also strive to meet Moody’s values: openness, diversity, inclusivity,
respect, and a willingness to learn.
The duties of the Data Sciencist include:

- 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.
- Communicate results to business stakeholders and decision-makers.

incorporate fundamental expertise into machine learning models.
- Stay current with the latest research and technology developments.

**Qualifications**:

- Master’s degree in data science, computer science, statistics, mathematics, or a

related quantitative field.
- Experience in machine learning, with a strong knowledge of algorithms and

principles.
- Proven track record of successfully modeling, building, and putting in production
- Deep understanding of the tools explaining machine learning predictions.
- Expertise in Python and SQL.
- Knowledge of Git and collaboration principles.
- Proven experience in natural language processing.
- Excellent communication and presentation skills, with the ability to explain complex

analytical concepts to people from other fields.
- Previous experience in corporate finance or debt markets is preferred.

Moody’s is an equal opportunity employer. All qualified applicants will receive
consideration for employment without regard to race, color, sex, gender, age, religion,
national origin, citizen status, marital status, physical or mental disability, military or
veteran status, sexual orientation, gender identity, gender expression, genetic information,
or any other characteristic protected by law. Moody’s also provides reasonable
accommodation to qualified individuals with disabilities or based on a sincerely held
religious belief in accordance with applicable laws. If you need to inquire about a
accommodation requests only, and cannot be used to inquire about the status of

Moody’s is an equal opportunity employer. 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.

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