Data Scientist, Specialist

Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.

Vanguard's India Office

Vanguard's office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

As a Senior Data Scientist, you will lead the design, governance, and deployment of enterprise AI agents that automate knowledge-intensive business processes by combining LLMs, enterprise data platforms, and agentic workflows. Partners with business, risk, compliance, and technology stakeholders to transform operations through trusted, scalable, and governed AI solutions that deliver measurable business outcomes.

Responsibilities

Solve Business Problems with AI

• Design and build enterprise knowledge systems that integrate structured and unstructured data across multiple business platforms, enabling AI agents to retrieve, reason over, and operationalize trusted organizational knowledge.
• Partner with business stakeholders to identify, frame, and prioritize high-value problems that can be addressed using Agentic AI, LLMs, and NLP.
• Define and implement business-centric evaluation frameworks that measure coverage, relevance, trustworthiness, explainability, and user adoption in addition to technical model performance.
• Focus on business outcomes, not just model performance.

• Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
• Design multi-agent and tool-augmented LLM solutions to automate complex, multi-step processes.
• Ensure solutions are reliable, explainable, and governed for enterprise use.

• Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.
• Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
• Align solutions with enterprise risk management, compliance, and responsible AI standards.

• Act as a trusted AI advisor, helping teams understand where Agentic AI and LLMs add value-and where they do not.
• Contribute to AI best practices, reusable patterns, and strategic direction
• Mentor peers and teammates on applied AI and business-driven problem solving

• Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
• Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a master's degree/Diploma in a related quantitative field

•

Strong experience working with unstructured text and language-driven workflows.

• MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• 3+ years delivering AI/ML solutions in production environments.
• 5+ years of hands-on Python experience; experience with distributed data processing is a plus.
• Strong ability to solve business problems using AI, not just build models.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Experience working in cross-functional, enterprise environments.