Data Scientist, Specialist

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.

Design & Build Agentic AI Solutions

• 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.

Scalable & Responsible AI

• 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.

Thought Leadership & Collaboration

• 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

Qualifications and Skills

• 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
• Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
• Large Language Models (LLMs): Hands‑on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
• Natural Language Processing (NLP): 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.

Location

This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Our commitment to you

Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness
We're committed to providing benefits that support your physical health and wellness.

Personal wellness
We're committed to providing resources that help support the full scope of your life.

How we work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.