Private Equity (Fund) Digital Value Creation

The Barton Partnership
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Specialist

Senior Data Scientist

Data science programme lead

Data science programme lead

Data science programme lead

Data science programme lead

On behalf of our client, a leading mid-market European Private Equity fund focused onindustrialsandretail & consumersectors, we are seeking an experiencedDigital Value Creation Specialistto join their team.

This role is a unique opportunity to drive digital transformation and deliver long-term value across their Italian portfolio companies. The position spans the full investment lifecycle, from due diligence on new investments to post-transaction integration and exits.

As part of theDigital Value Creationteam, you will lead strategic initiatives to enhance portfolio company business processes using digital tools, data, and analytics. You will work closely with portfolio company management and investment teams to identify and implement high-impact digital opportunities.

Key Responsibilities:

  • Collaborate with investment teams during due diligence to assess digital value creation potential for prospective investments.
  • Lead digital transformation projects across portfolio companies, optimizing operations through data-driven solutions and innovative tools.
  • Advise portfolio company leadership on strategies for digital integration, operational improvement, and growth.
  • Utilize advanced data engineering and data science techniques to generate actionable insights and measurable business value.

Key Requirements:

  • 4+ years experience in a Top Strategy Consulting Firm: A proven track record in a leading consultancy.
  • Fluency in Italian
  • Data Science Expertise: Strong foundation in data science, including data engineering and statistical analysis.
  • Demonstrated ability to manage and deliver high-value, independent projects that create business impact.
  • Experience in projects in the Industrial or Retail & Consumer space.

About Our Client:

Our client is a European Private Equity fund with a reputation for excellence and a commitment to creating value through digital transformation. With a focus on theindustrialsandretail & consumersectors, they are looking for a driven individual to contribute to their innovative approach to private equity investment.

What’s on Offer:

  • A dynamic and entrepreneurial environment with exposure to impactful projects across multiple industries.
  • The chance to work closely with investment teams and portfolio company leadership on transformative initiatives.
  • A key role in driving digital innovation and creating measurable value.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.