Senior AI Scientist
Vanguard Open · verified Oct 21, 2026 At a glance
Senior AI Research role at Vanguard. Malvern · full-time · no salary stated · we estimate $160,550–$249,500 across the United States.
Vanguard has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Take predictive models from defining the problem through testing, deployment preparation and continued risk checks
- Use diagnostic, predictive and prescriptive analysis to inform business decisions and compare new modeling approaches
- Set standards for modeling data quality, documenting assumptions and limitations while addressing gaps and data problems
- Shape research, evaluation and monitoring plans, and advise on model performance, stability and appropriate use
- Build shared modeling resources, guide junior analysts, and present findings with recommended actions to business leaders
What you bring
- At least five years in data science or analytical work
- Strong command of statistical and machine-learning methods, with experience in large language models, knowledge graphs and generative AI
- Python proficiency and experience with machine-learning frameworks such as TensorFlow, PyTorch or Scikit-learn
- Experience with a cloud platform such as AWS and its AI services and tools
Who this fits
You’ll suit a senior technical role that combines hands-on modeling, research judgment, stakeholder partnership and mentoring. The position is based in Malvern, and visa sponsorship is unavailable. Vanguard describes a hybrid work model for most crew members.
From the employer
Responsibilities:
Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross‑functional initiatives involving advanced analytics or machine learning.
Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
Participates in special projects and performs other duties as assigned.
Qualifications:
Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
Strong stakeholder Management and excellent communication skills.
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.