AI/ML Scientist

We are seeking an AI/ML/Data Scientist with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and applied machine learning to solve high-impact business problems. In this role, you will help turn complex business challenges into scalable AI/ML solutions that improve efficiency, reduce risk, strengthen fraud and cyber security protection, support better decision-making, and enhance client experiences. You will partner with business, product, and technology teams to build practical, trusted AI solutions aligned to enterprise needs. 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.