Data Scientist, Specialist

Responsibilities:Solve Business Problems with AI

• Partner with business stakeholders to identify, frame, and prioritize high‑value problems that can be addressed using Agentic AI, LLMs, and NLP.

• Translate business needs into clear AI use cases, success metrics, and delivery plans.

• 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:

• 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.Special Factors Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our 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.