About this role
Your mission <em><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">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.<br></span></em><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;"><br><strong>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.<br></strong><br></span><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">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.<br>Depending on your interests and background, you will contribute to work such as:<br></span><ul><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Data collection, analysis, and visualisation</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Development and testing of AI/machine learning solutions</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Copilot and AI-agent development (agentic AI)</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Python-based analysis and automation</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Preparation of decision support for client projects</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Benchmarking, research, and market analysis</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Communicating analytical results to consultants and clients</li></ul><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">This is an extra job alongside your studies, where the workload is agreed together and adapted to your academic schedule.</span></div><br> Your profile <div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">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.<br><br>You are likely:<br></span><ul><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">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</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Curious, intellectually sharp, and a fast learner</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Self-driven, responsible, and comfortable working with uncertainty</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Structured, with the ability to organise information and draw clear conclusions</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Interested in both technology and business</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Capable of working both independently and collaboratively</li></ul><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Previous experience from consulting, industry, student organisations, entrepreneurship, analytics projects, programming, or AI-related initiatives is considered a plus, but is not required.<br></span><h3><span style="font-size:14px;"><br></span></h3><h3><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Requirements</span></h3><ul><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Ongoing university studies with strong academic performance</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Basic programming skills, preferably in Python</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Good data-handling skills (e.g. Excel)</li><li style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">Good command of Swedish and/or English, spoken and written (Swedish is an advantage for client-facing work)</li></ul><span style="font-family:Arial, Helvetica, sans-serif;font-size:14px;">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.</span></div> Why us? <strong><span style="font-size:14px;">We offer:</span></strong><ul><li style="font-size:14px;">A unique opportunity to gain hands-on experience in Industrial AI while studying</li><li style="font-size:14px;">Exposure to senior leaders and some of the largest industrial companies in the Nordic region</li><li style="font-size:14px;">The chance to apply data science and AI to real operations and supply chain challenges</li><li style="font-size:14px;">Mentorship and coaching from experienced consultants and sector experts</li><li style="font-size:14px;">Flexible working arrangements adapted to your studies</li><li style="font-size:14px;">An open, entrepreneurial, and non-hierarchical culture</li><li style="font-size:14px;">A potential pathway to future thesis opportunities and full-time employment</li></ul><span style="font-size:14px;">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.</span>