LLM - Engineer - Senior Associate

Role & responsibilities

- Analyzing complex data science problems and translating business questions into modeling and analysis workstreams
- Developing exploratory and descriptive analyses to surface patterns, trends, and actionable insights from large datasets
- Applying statistical modeling, machine learning, and natural language processing methods to support data-driven decisions
- Building data visualizations and clear summaries that communicate findings to clients and internal teams
- Using AI tools, programming languages, and digital tooling to develop, test, and refine analytic solutions
- Reviewing data quality, feature design, and model outputs to validate accuracy and consistency
- Collaborating with client teams to understand business context, clarify priorities, and shape analytic approaches
- Mentoring junior team members by reviewing work products, sharing methods, and guiding task execution
- Interpreting feedback and changing requirements to refine analyses, deliverables, and technical approaches
- Maintaining professional and technical standards while supporting client service engagements and broader project objectives

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Applying AI fluency and machine learning methods to client solutions
- Interpreting data to inform insights and recommendations
- Using critical thinking to break down complex concepts
- Building client relationships while anticipating team needs
- Developing technical skills across data science workflows
- Upholding professional standards while navigating ambiguity