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School Internship in Data Analytics in Deals M&A (2026-2027)

BrusselsOn-siteFull-time

AI Summary

PwC Advisory is seeking a School Intern in Data Analytics for its Deals M&A team in Brussels. The intern will support live deal projects by analyzing business drivers, building dashboards, manipulating datasets, automating workflows, and exploring AI-driven analytics solutions.

About this role

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

Leading with heart, living by values
PwC Advisory is a garden of possibilities, and you’re reaping the rewards. Where you want to make an impact is always up to you. With the full support of our Advisory teams, you’ll delve into the inner workings of companies to find the best solutions for any challenge they might have. From the excitement of deals to the complexities of consulting and the fascinating realm of risks and threats in forensics, you’ll help clients nurture trust and maintain their evolutionary edge, today and into the future. Now that’s making a difference.

Bring your talent. Learn new skillsthroughreal businesspractice.Make a positive impact.

Are you fascinated by Mergers & Acquisitions as well as the technological side of this business? Would you like to work on various transactions and turn business data into meaningful intelligence for sellers and candidate investors? PwC’sDealAnalytics teamisbringing both together. In today’s world, data is becoming one of the key sources for value creation. Yet, companies are struggling to make data have a direct impact. Thefast-pacedM&A environment is no exception to that. We are making it happen. As an intern, you will be involved in a wide variety of tasks.

Your impact:

  • Being part of the project team on live Deals;

  • Support clients in analysis of key business drivers;

  • Linking and visualizing datasets into informative and attractive dashboards;

  • Using data manipulation on different raw source files to make a first analysis possible, including web scraping;

  • Automate manual processes and set up reusable workflows to improve efficiency and effectivity;

  • Explorenew solutionsand ideas for advanced analysis (e.g. sentiment analysis, predictions & forecasts);

  • Play around in tools likePowerBIand Visual Studioto name a few.

  • Performcoding in Python;

  • First hand witness how weleverageAI in everything we do.​​

Who you are:

  • A final year Master student intechnology-related programmes or study informatics, civil or business engineering (policy informatics), mathematics, (applied) economics or business studies;

  • Specialise, or have a particular interest, in data analytics/data science andparticularly appliedinabusinesscontext;

  • Are sociable and communicative;

  • In addition to having an analytical spirit, you also are curious and have a stiff dose of commercial flair;

  • Effective communicator, able to work collaboratively, fluent in English; knowledge of Dutch and/or French isadvantageous;

  • You havea school contract.

What we offer:

  • Participation in AI projects withtruebusiness relevance;

  • Guidance from experienced professionals in data science and AI engineering;

  • Exposure to various technologies and business domains;

  • Daily allowance and reimbursement for transportation;

  • Access to an international network of experts.

Testimonial:

“An internship with the Deals analytics team is a great place to grow”

Being part of the deals team was a great opportunity to learn, use my theoretical knowledge as well as bring my skills to the next level. The team is very supportive and responsive making homeworking a better experience. I’ve been assigned to diverse types of projects; from financial and geospatial analysis, to machine learning and computer vision. The tasks keep changing which creates more challenges and learning opportunities for the trainees.

Omar - Intern in Deals Analytics

Life at PwC Belgium

Our culture and workplace are somethingwe’reproud of.Here’sa sneak peek at what life at PwC looks like:

  • Flexible work patterns:Achieve the perfect balance between office and home life with our flexible hybrid work arrangements and family-friendly schemes.

  • Lifelong learning:Grow with us! Take advantage of our diverse training opportunities and exciting career pathways to explore new disciplines andexpertise.

  • Flexible rewards:Tailor your benefits to suit your lifestyle with our customizable rewards plan.

  • Inclusive culture:Thrive in a diverse, inclusive workplace that values and celebrates every individual'scontributions.

  • Wellbeing focus:Enjoy a positive environment with our comprehensive wellbeing programs, engaging sports communities, and confidential support for all your professional and personal challenges.

Let’sbuild something great together. What are you waiting for?

Equal Opportunity Employer statement

At PwC, we are dedicated to building a diverse, inclusive, and authentic environment. We are committed toproviding equal employment opportunities for all candidates and employees, regardless of race, religion, gender identity or expression, sexual orientation, national origin, age, disability, marital status, or any other characteristic protected by law.

We believe that a diverse and inclusive workplace drives innovation and strengthens our ability to serve our people,clientsand communities. Join us in fostering a culture where everyone feels valued, respected and empowered to achieve their full potential.

Additionally, we provide reasonable accommodations to qualified individuals with disabilities,in accordance withapplicable laws.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Analytical Thinking, Business, Data Science

Optional Skills

Accepting Feedback, Active Listening, Communication, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Teamwork, Well Being

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date

Skills

AI EngineeringAutomationComputer VisionDashboardingData ManipulationData ScienceMachine LearningPowerBIPredictions And ForecastsPythonSentiment AnalysisVisual StudioWeb Scraping

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