Data Science Intern

at  Moodys

LOCATION(S):

• Butterfly, Pernerova 691/42,4th floor, Building B, 186 00 Prague, Prague, CZ
  Line Of Business: Predictive Analytics OU(EAAS OU)
  Entity: Moody’s Analytics(MA)
  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.
  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.
  Data Science Intern
  As the center for innovative modeling in economics and credit risk, the Predictive Analytics unit empowers Moody’s customers to gain insight from data, model challenging problems, and make faster, better decisions. Our customers include banks, insurance companies and asset managers, corporates, as well as governments, regulators, and supervisory authorities globally.
  The Regional Growth and Analytics team, in particular, is committed to provide solutions and insights that align with customer aspirations and needs through advanced analytics and thought leadership. We create an exceptional customer experience by leveraging our unique expertise and developing various tools. Our scope also covers research to support Sales team, customer success activities and business development.
  The candidate will have the chance to participate in providing research insights by developing applied research and content as well as support development of analytical tools. This would allow them to engage in multiple tasks including work with our platforms to create relatable use cases, business studies and papers which would reveal benefits and features of PA solutions.
  Overview of role/responsibilities for the position

The intern will be involved into development of tools and doing research oriented towards client retention activities and improving already existing solutions. The main responsibilities covers data analysis, methodology design and technical communications to internal audiences, results derivation, analysis and interpretation. A successful candidate will perform subset of the following:

• Data analysis
• Application of statistical and econometric techniques to create research insights
• Application of Generative AI
• Documentation/research writing
• Preparing materials for presentations
• Dashboard enhancements

Qualifications:

• A BS degree student in Statistics, Economics, Data Science, Mathematics, Finance, or other relevant field
• Programming skills are essential, ideally in Python or R
• Knowledge of ML/statistical/econometric models with strong willingness to learn AI methods
• Responsible person who can work well with others
• Ability to work in a deadline-oriented environment
• Fluent in English
• Experience with technical writing or instructional design highly desirable
• You must be available to work in a hybrid role in Prague 16th June - 22nd August (This is flexible if it clashes with exam dates)

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.
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

• Data analysis
• Application of statistical and econometric techniques to create research insights
• Application of Generative AI
• Documentation/research writing
• Preparing materials for presentations
• Dashboard enhancement