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Data Scientist, Specialist

• Posted 1 day ago • Updated 1 day ago

Full Time

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Use Cases
FOCUS
Scalability
Risk Management
Regulatory Compliance
Thought Leadership
Strategic Management
Mentorship
Conflict Resolution
Problem Solving
Large Language Models (LLMs)
Orchestration
Evaluation
Natural Language Processing
Unstructured Data
Workflow
Computer Science
Data Science
Machine Learning (ML)
Python
Data Processing
Artificial Intelligence
Communication
Finance
Collaboration

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24654005
Posted 1 day ago

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