MSCI is hiring for a fresher entry level Data Science Engineer role in India

Position:

• Data Science Engineer

Company:

• MSCI Inc.

Location:

• Mumbai, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• 2025-3284

Years of experience:

• 0 to 3 years

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Company Description

• MSCI is a globally recognized leader in providing financial services, technology solutions, and research-driven insights for the investment industry.

• With over five decades of experience, MSCI has positioned itself as a pioneer in risk and return analytics, indexes, ESG solutions, and financial data support.

• The company plays a critical role in helping global institutional investors make informed decisions by offering tools that allow them to analyze, measure, and optimize portfolios with greater transparency.

• MSCI integrates research, data, and advanced technology into its solutions, offering services across asset classes and geographies.

• The firm is also committed to sustainability and is well-known for its Environmental, Social, and Governance (ESG) research and indexes that power responsible investing decisions across the globe.

• Beyond its market-leading products, MSCI promotes a people-first culture with inclusivity, collaboration, and innovation at the center of its workplace ethos.

• Its operations in India, especially in Mumbai, are central to its global strategy, housing a wide range of teams from technology to research.

• Employees at MSCI benefit from flexible work options, career mobility, and a global network of professionals committed to excellence in financial technology.

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Profile Overview

• The Data Science Engineer role at MSCI falls within the Technology category under the Private Assets solution.

• The position focuses on designing, building, and deploying advanced data science applications that support MSCI’s internal and client-facing platforms.

• As part of the Data Tech–Data Science team, you will contribute to innovation in areas such as AI adoption, natural language processing (NLP), machine learning (ML), large language models (LLMs), and agentic AI.

• The team plays a pivotal role in ensuring that MSCI remains at the forefront of AI and analytics by integrating new methodologies into production-ready solutions.

• The role emphasizes strong collaboration with cross-functional teams such as product management, QA, IT infrastructure, and operations.

• You will be required to engage directly with MSCI’s APIs, data pipelines, and delivery systems, ensuring seamless integration of AI-driven functionalities.

• The role also demands strong problem-solving skills, hands-on programming expertise (especially Python), and knowledge of cloud platforms like Azure or Google Cloud.

• In addition, you will be expected to uphold software engineering best practices like test-driven development, pair programming, and code refactoring.

• Ultimately, this role is ideal for candidates looking to kickstart or advance their careers in data science, AI engineering, and financial technology while working for one of the most respected names in the global investment community.

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Key Responsibilities

• Develop and maintain innovative data science applications supporting multiple business verticals across MSCI.

• Actively participate in MSCI’s AI adoption journey, focusing on implementing real-world machine learning and generative AI solutions.

• Work with various stakeholders across data, content, and technology functions to ensure seamless integration of AI-driven tools.

• Collaborate on designing and deploying functionality related to LLMs, LangChain, LangGraph, and agentic AI solutions.

• Build and optimize NLP models and text-processing pipelines to enhance MSCI’s internal and external platforms.

• Work closely with product management and operations teams to align technical solutions with business needs.

• Support the integration of AI solutions within client-facing delivery platforms.

• Adhere to best practices in software engineering, ensuring robust and scalable code.

• Work with QA teams to ensure solutions undergo rigorous testing before deployment.

• Ensure compliance with cloud-based deployment models, especially leveraging Azure and Google Cloud services.

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Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related fields.

• Strong foundation in data exploration, data visualization, statistical modeling, and data mining.

• Practical experience in AI and ML solution development and deployment into production.

• Strong programming proficiency in Python with an emphasis on NLP-based solutions.

• Exposure to large language models (LLMs), LangChain, LangGraph, and agentic AI will be a strong advantage.

• Familiarity with text processing and natural language understanding.

• Knowledge of DevOps practices, CI/CD pipelines, and cloud environments (Azure or GCP).

• Ability to work in a collaborative and agile development environment using methodologies such as test-driven development and pair programming.

• Excellent communication and interpersonal skills to engage with diverse teams across business functions.

• Self-motivated with a strong focus on delivering high-quality outcomes.

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Additional Info

• MSCI emphasizes a culture of innovation, collaboration, and inclusivity, encouraging employees to bring forward new ideas.

• Employees benefit from transparent compensation structures, healthcare coverage, retirement schemes, and flexible work arrangements.

• The firm fosters professional growth by offering internal mobility options, global exposure, and continuous learning opportunities through platforms like LinkedIn Learning Pro and Learning@MSCI.

• The Mumbai office offers modern facilities, collaborative spaces, cafeterias, gyms, and excellent connectivity to the city.

• MSCI encourages employees to participate in its Employee Resource Groups, which support diversity, equity, and belonging initiatives.

• The company is recognized as one of LinkedIn’s Top Companies in India (2025), underlining its strong reputation as an employer of choice.

• Career paths are multi-directional, offering flexibility to explore new areas or scale into leadership roles.

• The recruitment process is transparent, starting with online application, recruiter interaction, team interviews, and final offer stages.

• MSCI is deeply committed to equal opportunity employment and providing reasonable accommodations for individuals with disabilities.

• Candidates should be aware that MSCI does not work with unsolicited CVs from recruitment agencies and warns against recruitment scams.

Please click here to apply.