Senior AI Scientist
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At a glance
Job overview
Vanguard is hiring a Senior AI Scientist. Vanguard seeks a Senior AI Scientist to lead end‑to‑end predictive modeling initiatives, conduct deep‑dive analytics, enforce data quality standards, and partner with senior leadership to develop hypotheses and translate business needs into analytic solutions.
Key focus areas include Own end‑to‑end design, development, and execution of complex predictive modeling initiatives, Lead deep‑dive diagnostic, predictive, and prescriptive analytics to support business decisions, and Establish and enforce data quality standards for modeling use.
Successful candidates bring Five Years Data Science Experience. Important skills include Predictive Modeling, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Data Quality Standards, and Hypothesis Development. Preferred (not required): Deep Dive Diagnostic Analytics, Building Reusable Tools, Building Frameworks, and Building Shared Resources.
Skills & qualifications
Skills
Qualifications
Full job description
Senior AI Scientist
locations
Malvern, PA
Philadelphia, PA
time type
Full time
posted on
Posted 19 Days Ago
job requisition id
176931
Responsibilities:
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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.
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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.
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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.
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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.
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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.
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Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
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Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
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Participates in special projects and performs other duties as assigned.
Qualifications:
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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.
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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.
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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.
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