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Location
In office (Stockholm)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 14, 2026.

Overview
Company
Impact
Profile match
EFESO is a global pure player in operations strategy and performance improvement. From strategy to operations, delivering measurable impact.

Your mission

At EFESO, we help leading Nordic companies improve performance across manufacturing, operations, and supply chains. We work hands-on with management teams, operational leaders, and private equity firms to deliver measurable results through Operations Excellence, Supply Chain transformation, and Industrial AI.

We are now looking for an ambitious and analytical student who wants to combine their studies with practical experience in Management Consulting and Industrial AI.

We are looking for an ambitious and analytical student who wants to combine their studies with practical experience in data science and Industrial AI. As a Data Scientist at EFESO Nordics, you will strengthen our Data & AI capability by contributing to client projects and internal AI initiatives, while gaining hands-on exposure to our World Class Operations (WCOM) methodology and structured problem solving.

Depending on your interests and background, you will contribute to work such as:

  • Data collection, analysis, and visualisation
  • Development and testing of AI/machine learning solutions
  • Copilot and AI-agent development (agentic AI)
  • Python-based analysis and automation
  • Preparation of decision support for client projects
  • Benchmarking, research, and market analysis
  • Communicating analytical results to consultants and clients
This is an extra job alongside your studies, where the workload is agreed together and adapted to your academic schedule.

Your profile

We are looking for a student who combines strong analytical capabilities with curiosity, initiative, and a genuine interest in improving how companies operate. We value potential, drive, and problem-solving ability, a solid technical foundation is expected, but how you think matters most.

You are likely:

  • Currently pursuing a Bachelor's or Master's degree within Data Science, Computer Engineering, Software Engineering, AI, Engineering Mathematics, Engineering Physics, Computer Science, Statistics, or a related quantitative field
  • Curious, intellectually sharp, and a fast learner
  • Self-driven, responsible, and comfortable working with uncertainty
  • Structured, with the ability to organise information and draw clear conclusions
  • Interested in both technology and business
  • Capable of working both independently and collaboratively
Previous experience from consulting, industry, student organisations, entrepreneurship, analytics projects, programming, or AI-related initiatives is considered a plus, but is not required.

Requirements

  • Ongoing university studies with strong academic performance
  • Basic programming skills, preferably in Python
  • Good data-handling skills (e.g. Excel)
  • Good command of Swedish and/or English, spoken and written (Swedish is an advantage for client-facing work)
Experience with advanced Python, SQL, Power BI, Machine Learning, Generative AI, Copilot, agentic AI, data visualisation, or Git/GitHub is considered an advantage. The selection process may include a practical coding exercise.

Why us?

We offer:
  • A unique opportunity to gain hands-on experience in Industrial AI while studying
  • Exposure to senior leaders and some of the largest industrial companies in the Nordic region
  • The chance to apply data science and AI to real operations and supply chain challenges
  • Mentorship and coaching from experienced consultants and sector experts
  • Flexible working arrangements adapted to your studies
  • An open, entrepreneurial, and non-hierarchical culture
  • A potential pathway to future thesis opportunities and full-time employment
At EFESO, you will not be sitting on the sidelines. You will contribute to real projects, work alongside experienced consultants, and help create measurable value for our clients.
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