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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

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.

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.

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.

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.

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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