AI Enablement Intern

Providence Equity Partners; Greater London; On-site; GBP 18,000 - 25,000; Full time

Job summary

Providence Equity Partners in London is seeking a high‑performing AI Enablement Intern to support AI adoption across our Investment and Portfolio Operations teams. This hands‑on role focuses on shipping usable workflows and measurable impact.

You will translate business needs into scalable AI solutions using ChatGPT, Claude, copilots, and integrations, partnering with the technology team and ensuring clear communication and execution across the deal lifecycle.

Qualifications

• 1-3 years of relevant experience or graduate student in Finance, Economics, Computer Science, Engineering, Data Science, or a related field
• Hands-on experience 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: define data sources, schema requirements, and API inputs/outputs
• Proactive approach to proposing use cases and developing solutions with limited direction
• Strong collaboration across portfolio operations, investment, and technology teams, translating between business needs and technical requirements
• Demonstrated ability to synthesize information and translate insights into clear outputs
• High attention to detail and quality control mindset
• Ability to manage multiple workstreams in a fast-paced environment

Responsibilities

• Build AI tools and repeatable workflows for internal use
• Act as a technical partner to internal AI champions: assess feasibility, define data requirements, build prototypes, and 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—sourcing, screening, diligence, and memo preparation
• Scope and implement other AI/ML solutions to improve decision-making across the deal lifecycle
• Improve internal data collection and knowledge management for AI applications
• Prototype tools to automate recurring analyses, dashboards, and reporting outputs
• Work with the technology team for deeper integrations

Skills

AI tools

Prompt engineering

Workflow automation

Data engineering literacy

Excel

Education

Finance

Economics

Computer Science

Engineering

Data Science

Tools

ChatGPT

Claude

Coding copilots

APIs

Integrations

Job description

Firm Overview

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. Founded in 1989 in Providence, Rhode Island, the firm has invested over $40 billion across more than 180 portfolio companies with a transatlantic investment team based primarily in London, New York and Boston. Through disciplined portfolio construction, prudent risk management and a collaborative culture, the firm seeks to deliver strong results across market cycles. To learn more, please visit www.provequity.com.

Position Overview

We’re hiring a high-performing intern based inLondonto 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 will engage Providence’s technology team as a partner in solution delivery and independently drive execution, ensuring clear communication and alignment throughout collaboration.

This is not a research or strategy role. Success means shipping usable workflows, driving adoption, and delivering measurable impact.

Responsibilities
The _ AI Enablement Intern _ will be responsible for the following:

AI Development & Enablement

• 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

Investment Analysis & Deal Execution Support

• 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

Data, Automation & Reporting

• 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

Portfolio & Value Creation Support

• 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.

Requirements
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 behaviors 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.

Qualifications
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