AI Enablement Intern

Providence Equity Partners L.L.C. is a leading middle-market private equity firm with deep sector expertise in media, communications and education focused on North America and Europe. Providence looks to invest in businesses that are benefiting from the long-term growth trends around experiences, learning, and connectivity by partnering with exceptional management teams to build enduring, scaled companies.

We’re hiring a high-performing intern based in London to support AI adoption and impact across our internal team and portfolio companies. This is a hands-on operator/builder role: you’ll work directly with Investment and Portfolio Operations teams to understand workflows and build practical AI solutions that improve speed, quality, and decision-making.

As Providence expands its use of enterprise AI, you’ll help translate business needs into scalable technical solutions using tools like ChatGPT/Claude, coding copilots, automations, agents, and integrations. You’ll partner with Providence’s technology team to rollout solutions - but the expectation is that you can move fast without waiting for them and brief them clearly when you collaborate. This is not a research or strategy role. Success means shipping usable workflows, driving adoption, and delivering measurable impact.

• Build and maintain a curated library of prompts, custom GPTs, agents, and repeatable automations for internal use.
• Act as a technical partner to internal AI champions: assess feasibility, define data requirements, build prototypes, and help scale what’s working.
• Support team AI fluency through hands-on demos and practical guidance.
• Collaborate with the investment team to identify and build AI tools that accelerate deal workflows — including sourcing, screening, diligence, and investment memo preparation.
• Scope and implement other AI/ML solutions that improve the quality and consistency of investment decision-making across the deal lifecycle.
• Improve internal data collection and knowledge management processes to enable more effective AI applications.
• Prototype tools to automate recurring analyses, dashboards, and reporting outputs.
• Work with the technology team where deeper integrations are needed.
• Identify practical AI opportunities within portfolio companies, with a focus on revenue growth, cost optimization, and operational efficiency.
• Support evaluation of portfolio company AI adoption and impact.
• Help develop content for AI-focused portfolio initiatives and knowledge-sharing sessions.

In addition to the outlined responsibilities, you will be expected to handle ad hoc requests as they arise. This job description is not exhaustive and may not encompass all aspects of the role, as the needs of the business are continually evolving. Flexibility and adaptability are essential for success in this dynamic position.

We are committed to creating a workplace that fosters a collegial, inclusive, and collaborative environment. As part of the Providence team, it’s important that we hire candidates that align and exhibit our values:

• Demonstrated ability to work effectively across teams, actively contribute ideas, and build strong, trust‐based relationships to achieve shared goals and drive collective success.
• Proven track record of taking accountability for outcomes, following through on commitments, and acting with honesty, transparency, and ethical judgment in all situations.
• Commitment to fostering a positive, engaging workplace culture by supporting colleagues, contributing to a sense of belonging, and modeling behaviours that reflect and strengthen our organizational values.
• Ability to work respectfully with individuals of diverse backgrounds, perspectives, and experiences, demonstrating empathy, fairness, and a commitment to inclusive practices in everyday interactions and decision‐making.

The successful candidate will have a demonstrated record of success, a positive professional reputation, and the ability to exercise sound judgment and accountability. In addition, the successful candidate should have:

• 1-3 years of relevant experience or currently pursuing a graduate degree in Finance, Economics, Computer Science, Engineering, Data Science, or a related field.
• Hands-on track record building with AI tools (e.g., prompt engineering, workflow automation, agents, custom GPTs, or similar).
• Foundational knowledge of accounting, corporate finance, and valuation concepts.
• Experience building financial models in Excel.
• Data engineering literacy: Able to define data sources, schema requirements, and API inputs/outputs needed to build solutions.
• Proactive approach to proposing use cases and developing solutions with limited direction.
• Strong collaborator able to work effectively across portfolio operations, investment, and technology teams, and translate between business needs and technical requirements.
• Demonstrated ability to synthesize large volumes of information and translate insights into clear, structured outputs.
• High attention to detail and strong quality control mindset.
• Ability to manage multiple workstreams in a fast-paced, deadline-driven environment.
• Intellectual curiosity and a genuine interest in private equity, investing, and applied AI within financial services.