Job description
At Norrin, we’re shaping the era of Enterprise Intelligence. Our vision is to transform business productivity through data & AI by creating solutions that deliver measurable impact. As a Microsoft technology partner, we are at the forefront of reshaping how businesses operate across the Nordics. What defines us is deep technical expertise, a creative engineering mindset, and a people-first culture. At Norrin, you’ll have the chance to grow in a direction that matters to you while building solutions that make a real difference. Our story began when Cloud1, Devisioona, and Smartbi united. Together, we are Norrin.
We’re looking for a Data Scientist to join our Applied AI team. In this role, you’ll get to design and implement solutions that apply mathematical optimization methods and modern technologies. You’ll be solving complex challenges such as logistics and production optimization and bringing solutions into production together with our team. In addition to optimization, you’ll have the opportunity to work on a variety of AI projects, from time series analysis and computer vision to LLMs/GenAI and agentic systems, shaped by your interests and our clients’ needs.
🧩 In this role, you will be:
Designing and implementing solutions using mathematical optimization methods (linear, nonlinear, dynamic, stochastic, etc.)
Tackling practical optimization problems such as the Vehicle Routing Problem and the Traveling Salesman Problem (and variations)
Programming in Python and working with modern libraries and tools
Performing modelling, data analysis and turning results into actionable solutions with our clients
Collaborating closely with colleagues and clients while taking ownership of project outcomes
🌱 Why Norrin?
People-first culture: A workplace where you can be yourself. Our culture is built on openness, equality, and mutual respect.
Flexible working model: Our hybrid model offers the best of both worlds, flexibility in your daily life and in-person collaboration when it moves things forward.
Well-being benefits: Smartum benefits for culture, sports, and optional regular massages to help you recharge.
Fair compensation: A competitive salary that reflects your skills and experience.
Grow with us: We encourage continuous learning and development in a direction that matters to you. We offer diverse training and certification opportunities, as well as our Guild communities where knowledge is shared and built together.
✨ What we value:
2+ years of relevant experience in data science, applied mathematics, operations research, or a related field
Hands-on experience in designing and implementing solutions using mathematical optimization methods (linear, nonlinear, dynamic, stochastic, etc)
Strong programming skills in Python and solid understanding of linear algebra and statistical analysis
Ability to translate complex real-world problems into clear mathematical formulations and implement them in practice
Good knowledge of version control (e.g. Git) and modern development practices
Strong problem-solving skills with a structured and systematic approach, combined with excellent teamwork and collaboration
Ability to take ownership, deliver results and communicate effectively in English (both written and spoken)
Advanced degree (Master’s or PhD) in operations research, applied mathematics, computer science, industrial engineering, or related disciplines
🍀 What’s a plus (but not required):
Familiarity with optimization frameworks (e.g. Google OR-Tools, open-source libraries)
Broader experience in machine learning / AI, such as time series analysis, computer vision, LLMs/GenAI, reinforcement learning or agentic systems
Experience with PyTorch, deep learning or neural networks
Understanding of data platforms and architectures (e.g. Databricks, Microsoft Fabric, event streams, data warehouses)
Experience with MLOps and modern deployment practices (e.g. Docker, IaC).
Consulting or client-facing experience, and ability to guide teams as a technical lead
Previous work in industrial sectors (e.g. heavy machinery, power generation, manufacturing)
📩 Your next opportunity might start here
We’re excited to hear from you! Applications are reviewed continuously, and we’ll move forward as soon as we find the right person. Could it be you?
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