Senior AI Scientist

Vanguard

Senior AI Scientist developing predictive models to support data-driven business decisions at Vanguard. Mentoring junior data scientists and collaborating with leadership for innovative solutions.

Posted 7/29/2026full-timeMalvern • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, statistical analysis, and machine learning, with a strong focus on data quality and effective communication of complex findings to stakeholders. Proven ability to mentor junior team members and lead cross-functional initiatives in advanced analytics.

Highest-signal resume keywords

Predictive ModelingStatistical AnalysisMachine LearningPython ProgrammingStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical MethodsMachine Learning MethodsLarge Language ModelsGenerative AIData Quality StandardsModel EvaluationModel ValidationCloud PlatformsAnalytical Tools

Soft Skills

Communication SkillsMentoringCollaboration

Tools & Technologies

PythonTensorFlowPyTorchScikit-learnAWS

Industry Keywords

Data ScienceAnalytical RolesAdvanced AnalyticsBusiness Decision Making

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Flexible working hours
Professional development opportunities