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Providence Equity Partners

AI Enablement Intern

London
Posted about 23 hours ago
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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 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 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

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

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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

Equal Opportunity Employer

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Providence Equity LLP (the “Firm”) is an equal opportunity employer and complies with all applicable employment practice laws. The Firm strictly prohibits and will not tolerate, condone or allow discrimination, harassment, or retaliation with respect to any employee, member, or applicant for employment or membership in matters of hiring, promotion, transfer, disciplinary action, assignments, termination, compensation, fringe benefits, or other terms and conditions of employment on the basis of race, color, religion, creed, age, national origin, ancestry, alienage or citizenship status, actual or perceived sex (including pregnancy, childbirth, breastfeeding or other related medical conditions), actual or perceived gender (including sex stereotyping, gender identity, gender-related self-image, gender dysphoria, gender expression, other gender-related characteristics, or transgender status), actual or perceived sexual orientation, disability (including physical disability or mental disability), medical condition, genetic information, military or veteran status, employment or unemployment status, credit history, familial status, partnership status, caregiver status, domestic victim status, or marital status, pay or other compensation history, or any other status protected by relevant employment laws. All employees and members are prohibited from engaging in unlawful discrimination, harassment, bullying, or retaliation.

Please note that Providence Equity Partners L.L.C., together with its subsidiaries and affiliated entities (collectively, the “Firm”), does not accept unsolicited resumes from any third-party recruiting agency that is not currently operating under a valid, fully executed agreement with the Firm. The Firm strictly prohibits agencies from contacting employees directly, including hiring managers, for the purpose of submitting candidates.

The Firm strictly prohibits agencies from contacting employees directly, including hiring managers, for the purpose of submitting candidates. Any unsolicited resume or candidate information sent to the Firm or any of its employees—whether submitted via email, postal mail, online platforms, or through any other means—by a third-party recruiting agency lacking a current signed agreement will be deemed the property of the Firm. In such circumstances, no implied contract or obligation shall be created, and the Firm expressly reserves the right to contact, engage, or hire any such candidate without any financial or other obligation to the submitting agency. The Firm reserves the right to reject or disregard any terms, conditions, or fee schedules that accompany or are included in unsolicited submissions.

Third-party recruiting agencies that wish to be considered for a formal engagement should contact a member of the Firm’s Human Capital Management Team to discuss entering into a signed agreement. The Firm reserves the sole discretion to determine whether to enter into any such agreement and may decline to do so.

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Skills

AI Development
Workflow Automation
Data Engineering
Financial Modeling
Collaboration
Investment Analysis
Deal Execution
Data Collection
Knowledge Management
Prototyping
Technical Solutions
AI Tools
Communication
Problem Solving
Attention to Detail
Adaptability

Location

London, England, United Kingdom

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