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Ultimus Fund Solutions

Data Scientist, AI Development

Ultimus Fund Solutions Denver, Colorado, United States · $100K–$250K/yr

Financial Services · 1,001-5,000 employees

20 h ago
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

Design and implement AI approaches for operational workflows, including predictive models, LLM prompts, and agent logic. Evaluate model performance, analyze pilot results, and measure cost and time savings to ensure successful deployment.

What they look for

Data Science Artificial Intelligence Machine Learning Generative AI LLM Prompt Engineering Agentic AI Data Engineering Predictive Modeling Workflow Optimization Evaluation Metrics Data Analysis Intelligent Document Processing AI Infrastructure

Requirements

The role requires expertise in data science and AI development to build and refine intelligent solutions. Candidates must be able to collaborate with operations experts to translate business needs into technical AI implementations.

Full description

About the team

Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows. Our AI Development teams are small, cross-functional groups of AI engineers, data scientists, data engineers and AI analysts who partner closely with our operations experts to redesign key workflows and build the AI solutions that support them, with AI agents an increasingly important part of that work. They are backed by a dedicated AI Infrastructure team and a shared enterprise AI platform.

About the role

As Data Scientist in an AI Development pod you design the AI approach for each workflow and prove that it works. You shape the models, prompts and agent logic, and you own how we measure accuracy, quality and savings.

What you'll do

  • Work with operations experts to break a workflow into steps and decide where AI models, AI agents, rules or people should handle each one.
  • Design the right AI approach for each task, whether predictive models, LLM prompts and retrieval, or agent reasoning, and select the right models.
  • Build evaluation sets and metrics (accuracy, exception rates, review time) and run offline and online evaluations before and during pilots.
  • Analyze pilot results, find failure patterns and improve the solutions until they meet the targets to go live.
  • Measure the time and cost saved by each workflow and report results to the program team.
  • Package what works into reusable patterns for the next workflow.

Ultimus Leverpoint is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

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