Would you like to join a global, growing company that innovates for a more sustainable tomorrow? UPM could be the team for you. We are frontrunners in developing renewable alternatives to fossil-based materials. Besides enabling both businesses and consumers make more sustainable choices, we strive to create a positive UPM experience for all our employees around the world. We live by our values – trust and be trusted, achieve together, renew with courage. Join us in creating a future beyond fossils!
We are now looking for an Applied Scientist / Analytics Engineer to join our Decision Support and Advanced Analytics team in UPM Fibres. This position is primarily located in Helsinki, Finland. Other UPM locations can be considered.
Greetings from your future manager
Our team sits at the intersection of technology and strategy, supporting impactful decisions across UPM Fibres. While we have a strong foundation in analytics, we’re now looking to deepen our ability to deploy advanced models and tools into real-world business operations — with high-quality code and sustainable development practices. If you love solving problems but also want to see your solutions live and scale in production, we’d love to talk. Jani Strandberg, Manager, Fibres Decision Support & Advanced Analytics

What you will do

• Lead and implement practical applications of mathematical modeling and machine learning to support operational and strategic decisions across UPM Fibres
• Collaborate closely with business stakeholders to identify and prioritize analytics use cases with real-world impact
• Take ownership of the development, deployment and maintainability of analytics solutions, ensuring they meet production standards
• Contribute to the design and implementation of robust data pipelines and analytics infrastructure
• Support the growth and technical capability of the Advanced Analytics team by bringing in best practices in development, documentation, testing and versioning

Who you are

Our team works across various fields of advanced analytics, including mathematical modeling, machine learning, and forecasting. We are looking for candidates who can strengthen us in one or more of these areas, especially those who bring strong software engineering skills. You do not need to check every box below to apply. If you see yourself in some of these, we would love to hear from you.

• You have a university degree (M.Sc. or Ph.D.) in mathematics, economics, computer science, engineering, operations research, statistics, or similar
• You have minimum 2 years of industry experience delivering robust mathematical modeling or machine learning solutions into production
• You have programming skills in Python with solid understanding of software development practices
• You have experience deploying solutions to cloud platforms, especially Azure, and familiarity with MLOps/DevOps principles
• You have collaborative mindset with problem-solving skills and the drive to turn ideas into maintainable solutions
• You have practical experience in formulating mathematical models (e.g., LP/MILP, heuristics, simulations, econometric models) and integrating them into business operations
• You have hands-on experience with developing and deploying ML models (e.g., classification, regression, deep learning) and solid understanding of the model lifecycle
• You are fluent in English
• Familiarity with BI tools like Tableau or Power BI is an asset

This is what we offer to you

• A meaningful job – We have an inspiring purpose ‘We create a future beyond fossils.’ Our work is impactful and transformative.
• A caring community – Our community is built on great team spirit and shared commitment. We care about each other and the well-being of our colleagues. We support the work-life balance of all our employees.
• Development opportunities – We offer you great opportunities to learn and grow throughout your career. We are an international, multi-business organization offering plenty of avenues for personal growth.
• Responsible employer - Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas from climate change to biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselves.

Learn about our
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Additional information
For more information, please contact Jani Strandberg Manager, Fibres Decision Support & Advanced Analytics at
jani.strandberg@upm.com
or tel. +358407462665 on May 26th or 30th May at 10-11 a.m. EEST.
Please apply and attach your CV and Cover Letter by May 31, 2025. Please note that we will go through the applications already during the application period and may invite candidates for interviews already before the end of the application period.
For support with submitting your application, please contact the HR Service Center at
careers@upm.com
or tel. +358204146600.
A security background check may be performed for those selected to UPM positions, in accordance with the company recruitment guidelines and the Security Clearance Act 726/2014.
UPM is a material solutions company, renewing products and entire value chains with an extensive portfolio of renewable fibres, advanced materials, decarbonization solutions, and communication papers. Our performance in sustainability has been recognized by third parties, including EcoVadis and the Dow Jones Sustainability Indices. We operate globally and employ approximately 15,800 people worldwide, with annual sales of approximately €10.3 billion. Our shares are listed on Nasdaq Helsinki Ltd.
UPM – we renew the everyday
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• Lead and implement practical applications of mathematical modeling and machine learning to support operational and strategic decisions across UPM Fibres
• Collaborate closely with business stakeholders to identify and prioritize analytics use cases with real-world impact
• Take ownership of the development, deployment and maintainability of analytics solutions, ensuring they meet production standards
• Contribute to the design and implementation of robust data pipelines and analytics infrastructure
• Support the growth and technical capability of the Advanced Analytics team by bringing in best practices in development, documentation, testing and versionin