Lead Data Scientist

Lead Corporate Finance Systems to drive their AI transformation for 2030. You'll help shape our AI strategy by designing, developing, and deploying advanced analytics and machine learning models that deliver data-driven solutions s role combines data science with modern AI methods to solve business challenges, boost automation, and generate actionable insights.

• Develops complex queries and performs extensive programming to access, transform, and prepare large-scale data for statistical modeling and AI applications.

• Leads diagnostic, predictive, and prescriptive analytics initiatives to support strategic and operational decision-making.

• Identifies data inconsistencies, documents assumptions, and addresses data quality gaps to ensure reliable model outcomes.

• Designs, trains, evaluates, and deploys machine learning and AI models (e.g., supervised/unsupervised learning, NLP, time series, optimization).

• Apply generative AI techniques (e.g., LLMs, embeddings, prompt engineering, agents) to enable automation, insight generation, and intelligent user experiences.

• Guides model validation, performance monitoring, explainability, and responsible AI practices.

• Engages with business and technology stakeholders to understand problems, formulate hypotheses, and translate requirements into analytic and AI solutions.

• Serves as an AI and analytics expert on cross-functional initiatives, contributing to enterprise-wide data and AI maturity.

• Prepares and delivers clear, concise insight presentations and recommendations to technical and nontechnical audiences.

• 7+ years of experience in data science, analytics, or related quantitative roles.

• Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production-ready solutions.

• Hands‑on experience with statistical modeling and machine learning techniques.

• Proven ability to translate complex analytical results into business insights.

• Experience with generative AI, LLMs, vector databases, or AI orchestration frameworks.

• Familiarity with cloud-based data and AI platforms.

• Experience working in regulated or large‑scale enterprise environments.

• AI solutions that measurably improve efficiency, insight quality, and decision speed.

• Scalable, well‑governed models that are trusted by business partners.

• Clear storytelling that connects AI outcomes to business value.

Vanguard is not offering visa sponsorship for this position.