AI/ML Scientist

Vanguard • Malvern, PA

18h • Hybrid

About The Position

The AI/ML Scientist identifies high-value AI/ML use cases with stakeholders and translates business needs into solution approaches, success metrics, and delivery plans. The role develops and supports AI/ML solutions using machine learning, NLP, Generative AI, and LLM-based approaches, including retrieval-augmented generation and agentic workflow automation.

The scientist collaborates with data science and engineering teams to deploy scalable solutions with appropriate evaluation, monitoring, guardrails, and alignment to enterprise risk and responsible AI standards. The role also communicates technical concepts clearly to technical and non-technical stakeholders. Vanguard describes its mission as supporting clients’ long-term financial wellbeing and says its majority workforce follows a hybrid working model that enables flexibility, in-person learning, collaboration, and connection.

Requirements

• Undergraduate degree or equivalent experience in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering, or a related field.
• 1 to 2 years of experience developing and implementing AI/ML solutions or projects, including 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.
• 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.

Nice To Haves

• Graduate degree preferred.

Responsibilities

• 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, and guardrails, aligned with enterprise risk and responsible AI standards.
• Communicate technical concepts clearly to technical and non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level