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AI/ML Scientist

Vanguard

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Skills

Required

  • Machine Learning
  • AI/ML
  • Data Science
  • LLMs
  • NLP
  • statistical methods
  • regression
  • clustering
  • TensorFlow
  • PyTorch
  • scikit-learn
  • SQL

Preferred

  • Generative AI
  • LLM-based
  • retrieval-augmented generation
  • agentic workflow automation

About Vanguard

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.

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.

Responsibilities

  • You’ll Do Identify high-value AI/ML use cases with stakeholders and translate business needs into solution approaches, success metrics, and delivery plans
  • Develop and support AI/ML solutions using machine learning, NLP, Generative AI, and LLM-based approaches such as retrieval-augmented generation and agentic workflow automation
  • Collaborate across data science and engineering teams to deploy scalable solutions with appropriate evaluation, monitoring, guardrails, and alignment to enterprise risk and responsible AI standards
  • Communicate technical concepts clearly to technical and non-technical stakeholders

Requirements

  • Qualifications Undergraduate degree or equivalent experience in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or a related field; graduate degree preferred 1 to 2 years of experience developing and implementing AI/ML solutions or projects, with experience applying machine learning, LLMs, NLP, and data science techniques to business problems
  • Strong foundation in machine learning and statistical methods, including regression, clustering, decision trees, neural networks, deep learning, and supervised and unsupervised learning
  • Experience with tools such as TensorFlow, PyTorch, scikit-learn, NLP libraries, or similar technologies, plus strong technical knowledge of cloud, big data, scalable data processing, SQL, and NoSQL databases
  • Strong communication skills and ability to work effectively in cross-functional environments
  • Success Looks Like AI/ML solutions deliver measurable business value in real workflows LLM and Agentic capabilities are applied to practical use cases
  • Business partners see you as a strong problem solver and collaborative technical partner
  • Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position.