Data Scientist, Specialist

About this role

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.

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