Finance Co-op

Responsibilities

• Ramp quickly on the Finance team's existing tech stack across ERP, FP&A, expense, and procurement systems
• Partner with FP&A, Procurement, Accounting, and Strategic Finance to identify high-value AI use cases
• Prototype tools using LLM APIs against Finance workflows and internal data sources from existing systems
• Measure time savings, accuracy gains, and adoption impact of each prototype
• Scope ambiguous problems into shippable proof-of-concept tools
• Document what works and capture best practices for broader Finance team adoption
• Support the rollout of successful pilots from prototype to team-wide use

Requirements

• Hands-on experience using an LLM API (Anthropic, OpenAI, or similar) to build something beyond chat
• Finance or business coursework sufficient to partner credibly with FP&A, Procurement, and Accounting stakeholders
• Comfort ramping quickly on unfamiliar business software and integrating against it
• Strong written communication
• Ability to scope ambiguous problems into shippable prototypes
• Currently pursuing an undergraduate or master's degree
• Available for the full July to December term

Preferred Qualifications

• Exposure to forecasting, variance analysis, or financial reporting workflows
• Prior hands-on use of ERP, FP&A, expense, or procurement platforms
• Experience working with internal datasets or data pipelines
• Familiarity with evaluating and measuring AI tool impact

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery across medicine, materials, and energy.