Senior Data Science Engineer
MSCI · Pune · onsite · Posted 1d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
MSCI Data Tech - Data Science is a central team responsible for building and managing data-centric and AI-driven applications and capabilities that support all major business verticals across the firm, including ESG, Index, Analytics, and Real Estate. The team enables high-quality financial decision-making by delivering scalable, reliable, and compliant AI solutions used by some of the world s largest financial services organizations.
We are seeking AI Engineers at Senior Associate levels to support MSCI s AI adoption journey, with a focus on machine learning, NLP, GenAI, LLMs, and agentic AI systems. These roles are hands-on and engineering-focused, centered on building, integrating, and operationalizing AI capabilities across internal platforms and client-facing products.
Your Key ResponsibilitiesAI & Data Science Application Development
- Design, develop, and maintain data science and AI-driven applications that support multiple MSCI business lines.
- Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.
- Build and integrate LLM-powered capabilities such as retrieval-augmented generation (RAG), summarization, classification, extraction, and reasoning into enterprise platforms.
GenAI, LLMs & Agentic AI
- Develop and enhance solutions using LLMs, LangChain, LangGraph, and agentic AI frameworks.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
UsageFocusAnalyticsmanagementFinancial ServicesApplication DevelopmentData ScienceMachine Learning
About MSCI
MSCI
Financial Services
1.7k+
employees
1969
57 years old
Mumbai, Maharashtra
India
₹27.5L PA avg
Avg at MSCI
About
MSCI strengthens global markets by increasing transparency and connecting participants across the financial ecosystem with a common language.
Industries
Financial ServicesInvestment Banking / Venture Capital / Private Equity
Employee ratings
10 reviews
3.9/ 5
Culture
2.8
Career growth
2.3
Work-life
2.9
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