Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Analytics & AI Internship – Shape Smart Strategies with Python & Power BI!

Geplaatst 5 sep. 2025
Delen:
Werkervaring
0 tot 1 jaar
Full-time / part-time
Full-time
Salaris
€ 450 - € 650 per maand
Opleidingsniveau
Taalvereisten
Engels (Vloeiend)
Nederlands (Vloeiend)
Duur (minimum)
24 weken
Startdatum
1 januari 2026

Je carrière begint op Magnet.me

Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.

Your benefits

  • Internship position for at least 6 months starting January 2026.
  • Insight into modern data modelling, optimization, and visualization techniques.
  • Gain hands-on experience with Python, Power BI, and advanced analytics frameworks.
  • Coaching and guidance from experienced consultants and data scientists.
  • Opportunity to expand your network and develop professional skills in a consulting environment.
  • A dynamic and educational work environment with room for initiative and innovation.
  • Internship compensation of €450–€650 per month.

Your future tasks

As a Data Analytics Intern, you will contribute to the development of a next-generation decision support model. This internship is ideal for someone with a strong analytical mindset, interest in optimization and forecasting, and a passion for turning data into actionable insights. You will work closely with our consulting team to support strategic decision-making tools and visualizations.

Your responsibilities include:

  • Priority 1: Support the completion of a Python-based decision model. This includes making strategic logic more dynamic and modular to replace the current static examination framework.
  • Priority 2: Assist in developing Power BI dashboards and transforming Excel-based outputs into frontend-ready formats.
  • Priority 3: Contribute to research on advanced optimization techniques (e.g., Mixed Integer Linear Programming) and forecasting improvements, including robustness analysis and market benchmarking.
  • Collaborate with consultants to translate business needs into technical solutions.
  • Document and present findings to stakeholders in a clear and structured manner.

Your profile

  • Field of study: You are an HBO/WO student in a quantitative field such as Econometrics, Data Science, Computer Science, or Industrial Engineering.
  • Strong analytical and problem-solving skills.
  • Experience with Python and data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with optimization techniques and forecasting models is a plus.
  • Proactive and result-oriented attitude.
  • Strong communication skills in both Dutch and English.
  • Interest in digital transformation and strategic decision-making.
  • Experience with Excel-based data workflows and post-processing is a plus.

Together, we are more than Business

BearingPoint is an independent management and technology consultancy with European roots and global reach. We offer consulting that combines strategy with technology and combine entrepreneurship with a spirit of innovation.

You make the difference: We give you the space to be yourself and develop your full potential. Regardless of where you come from, what you believe in or who you love. We stand up for equal opportunities and diversity.

Research shows that female candidates only apply when they meet 100% of the requirements and male candidates as early as 60%. So if you recognize yourself in the challenge and at least some of the requirements, don't hesitate. We look forward to receiving your application!

BearingPoint is een onafhankelijk consultancybureau met Europese roots en wereldwijde impact. We werken met toonaangevende bedrijven en bieden advies op het snijvlak van technologie en management. Als B Corporation voldoen we aan hoge normen voor sociale en milieuvriendelijke impact.
BearingPoint biedt consultants een unieke kans om impact te maken in een innovatieve omgeving.

Management Consulting
Amsterdam
Actief in 75 landen
100 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 33 jaar oud