Moody’s Corporation is hiring for a fresher entry level Data Scientist role in India

Address: Quay Building, 8th Floor, Bagmane Tech Park, Bengaluru, Karnataka, India

Company Description

Global Expertise:
- Moody's Corporation is a leading financial services company with expertise in global markets.
- Known for uniting the brightest minds to tackle today’s interconnected risks and transform them into future opportunities.
Diverse Workforce:
- Operates across more than 40 countries, leveraging a workforce that values inclusivity, diversity, and collaboration.
Commitment to Customers:
- Aims to provide clients with holistic insights into risks, helping them act decisively and grow their businesses.
Innovative Solutions:
- A rich history of innovation and a commitment to cutting-edge technologies and methodologies to support customer success.
Core Values:
- Emphasizes openness, respect, integrity, and inclusivity, fostering an environment where everyone feels empowered to contribute.

Role Purpose:
- The Data Scientist at Moody’s plays a pivotal role in the Digital Finance team by developing machine learning solutions for key data science initiatives.
Key Responsibilities:
- Designing and training predictive analytics models tailored to business needs.
- Extracting actionable insights from unstructured data and creating high-value solutions.
Collaboration Focus:
- Works closely with technology, research, and rating teams to ensure seamless integration of data science projects.
Innovation and Excellence:
- Expected to stay updated with the latest developments in machine learning and implement innovative solutions.
Impactful Communication:
- Must effectively present findings and tools to non-technical stakeholders and decision-makers.
Alignment with Values:
- The role aligns with Moody’s values, such as diversity, respect, and curiosity, fostering collaboration and trust.

Machine Learning Development:
- Select and train models suitable for predictive analytics tasks.
- Work with datasets that may be small or imbalanced, ensuring robust model performance.
Data Insights and Signal Crafting:
- Develop solutions that predict activities and extract meaningful signals from diverse data sources.
Explainability Tools:
- Design and implement tools that make machine learning outputs accessible to non-technical users.
Data Ingestion and Integration:
- Collaborate with tech teams to build pipelines for data ingestion from varied organizational sources.
Stakeholder Communication:
- Present results and findings to business stakeholders in a clear, actionable manner.
Collaboration Across Divisions:
- Engage with subject matter experts to incorporate domain knowledge into models.
Continuous Learning:
- Keep abreast of advancements in machine learning technologies and integrate new tools when applicable.

Educational Background:
- A Master’s degree in data science, computer science, mathematics, statistics, or related quantitative fields.
Machine Learning Expertise:
- Extensive experience with machine learning algorithms, principles, and applications.
- Proven success in modeling and deploying machine learning solutions in production.
Technical Proficiency:
- Advanced knowledge of Python and SQL for data analysis and model development.
- Familiarity with Git and collaborative workflows for efficient team integration.
Natural Language Processing (NLP):
- Demonstrated expertise in NLP techniques and their application in real-world scenarios.
Communication Skills:
- Ability to articulate complex analytical concepts to stakeholders with varying technical backgrounds.
Preferred Experience:
- Prior exposure to corporate finance or debt markets is advantageous but not mandatory.

Inclusivity and Equal Opportunity:
- Moody's is committed to being an equal-opportunity employer, ensuring all candidates are considered without bias.
Diversity and Respect:
- The company values diverse perspectives, fostering an environment where everyone is encouraged to share ideas and insights.
Ethics and Compliance:
- Candidates may need to adhere to Moody’s Policy for Securities Trading, which includes disclosing and remediating any conflicts.
Growth Opportunities:
- Offers professional development and access to cutting-edge tools and technologies.
Culture of Innovation:
- Encourages employees to lead with curiosity and invest in meaningful relationships to drive impactful outcomes.
Global Presence:
- As a global organization, Moody’s provides opportunities for cross-functional collaboration and international exposure.