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

Position:

• Job Title: Data Scientist

Company:

• Name: Moody’s Corporation

Location:

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

Job Type:

• Category: Full-Time

Job Mode:

• Mode: On-site

Job Requisition ID:

• ID: 7281

Years of Experience:

• Experience Level: 0-3 years
  

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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.

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Profile Overview

• 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.
    

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Role Responsibilities

• 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.

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Qualifications

• 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.

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Additional Info

• 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.

Please click here to apply.

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