Co-Op, Finance

Lila Sciences • Cambridge, MA

2h

About The Position

Lila Sciences Finance is building AI into how the function works, not as a side experiment but as an embedded capability across Strategic Finance, FP&A, Procurement, and Accounting. We need someone to help us go from informal experimentation to shipped tools the team actually uses. This co-op will work across the Finance organization to identify high-impact AI use cases, prototype working tools against our internal data, and measure the time and accuracy gains those tools produce. You will partner directly with finance stakeholders, get up to speed on the team's existing finance tech stack, build proof-of-concept tools with LLM APIs, and help us turn successful pilots into a playbook the broader Finance team can scale. This is a hands-on role at the intersection of applied AI and corporate finance. The work you ship will go into use immediately.

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

Nice To Haves

• 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

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

What This Job Offers

• Career Level: Entry Level
• Education Level: No Education Listed