AI/ML Scientist

What 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 Required 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 What 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. 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.