AI Data Scientist - Vice President

Job Title: AI Data Scientist

Corporate

Title:

Vice President

Location:
Cary, NC

In short - an essential part of Deutsche Bank's technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands‑on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

As an AI Data Scientist, you will leverage cutting‑edge LLM‑first approaches to drive exploratory data analysis and rapid semantic clustering. Your expertise will be crucial in scaling prompt‑based prototypes into cost‑effective embedding and vector pipelines, ensuring both efficiency and accuracy. You will be responsible for driving taxonomy mapping and functional decomposition automation, transforming complex business process data into actionable insights. This role involves designing and executing evaluation experiments, with a deep understanding of prompt evaluation and automated tuning using LLM‑as‑a‑judge frameworks.

You will possess mastery of the Python ecosystem, statistical evaluation, and expertise in embeddings tuning, K‑means, and graph clustering, contributing to continuous evaluation pipelines like RAGAS or Tur Lens. Your ability to extract meaningful patterns from terabytes of messy, undocumented legacy system logs and ticket data will be key to mapping operational workflows.

• A diverse and inclusive environment that embraces change, innovation, and collaboration
• A hybrid working model, allowing for in‑office / work from home flexibility, generous vacation, personal and volunteer days
• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
• Educational resources, matching gift and volunteer programs

• Utilize LLM‑first approaches for exploratory data analysis and rapid semantic clustering.
• Scale prompt‑based prototypes into cost‑effective embedding and vector pipelines.
• Drive taxonomy mapping and functional decomposition automation.
• Execute evaluation experiments, focusing on prompt evaluation and automated tuning with LLM‑as‑a‑judge frameworks.
• Contribute to continuous evaluation pipelines such as RAGAS or Tur Lens.
• Process and analyze terabytes of diverse data, including legacy system logs, to map operational workflows.
• Contribute code to retrieval or chunking modules of major frameworks like Llama Index or Lang Chain.

• Apply expertise in embeddings tuning, K‑means, and graph clustering.

• Mastery of prompt evaluation and automated tuning with LLM‑as‑a‑judge frameworks.
• Deep knowledge of the Python ecosystem and statistical evaluation.
• Expertise in embeddings tuning, K‑means, and graph clustering.
• Experience with continuous evaluation pipelines like RAGAS or Tur Lens.
• Proven ability to design dynamic routing or softmax‑based thresholding pipelines to optimize LLM inference costs and accuracy.

• Experience processing large volumes of unstructured data using statistical evaluation and natural language processing.
• Contributions to retrieval or chunking modules of major frameworks.

It is the Bank's expectation that employees hired into this role will work in the Cary office in accordance with the Bank's hybrid working model.

Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in Cary is $125,000 to 185,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set,…