Data Scientist

Metsä Board Sverige Ab; Espoo; On-site; EUR 65,000 - 95,000; Full time

Job summary

Metsä Group invites applications for a Data Scientist to join the Digital & AI function in Espoo, Finland. You will transform complex business challenges into data-driven solutions using ML, optimization and generative AI, driving operational efficiency and innovation.

You will design, develop and evaluate AI-based solutions, collaborate with data engineers and software developers, and mentor junior scientists while communicating insights to stakeholders for strategic actions.

Qualifications

• Master's or PhD degree in Applied Mathematics, Economics, Data Science, Computer Science, Software Engineering, or another similar discipline.
• Strong expertise in advanced analytics, machine learning, optimization methods and mathematical modelling.
• Experience in hypothesis-driven problem solving, experimentation and business case evaluation.
• Excellent programming skills in Python and experience with data science libraries and SQL.
• Deep understanding of Databricks ML and AI capabilities and modern cloud-based data science environments.
• Knowledge of Azure AI Foundry, Azure cloud services and version control tools such as Azure DevOps Repos.
• Experience in automating development and coding tasks via AI based tools like Genie Code, GitHub Copilot or similar.
• The ability to communicate complex analytical concepts and results to both technical and non-technical audiences.

Responsibilities

• design, develop and evaluate machine learning, optimization and AI-based solutions, taking ideas from initial hypotheses and experimentation through to scalable, production-ready capabilities.
• work closely with business experts, data engineers and software developers to solve challenging business problems and unlock the value of data.
• managing experimentation portfolios and model inventories, assessing experiment outcomes and recommending the next steps, whether that means further refinement, MVP development or full-scale deployment.
• establish best practices, development standards and governance models for data science and AI initiatives.
• occasionally, you will work as a methodological mentor for more junior level data scientists and analysts.
• communicate analytical findings and recommendations to stakeholders, helping turn complex insights into clear business actions and strategic decisions.

Skills

Python

SQL

Machine learning

Optimization

Experimentation

Communication

Education

Master's or PhD in Applied Mathematics

Tools

Databricks ML

Azure Cloud

Azure DevOps Repos

Job description

Group Services

Metsä Group is a successful forest industry group with roots in the Finnish forest - Our parent company is a cooperative of over 90,000 forest owners. Metsä Group's Group Services employ some 1,000 professionals in finance, IT, sourcing and logistics, HR, technology, business process development, communications, law, and many other fields. Their task is to support Metsä Group and its Business Areas in implementing their strategy. Our specialists' independent work is supported by a strongly networked workplace community.

We welcome people from diverse backgrounds and different stages of life. Metsä has space and opportunities for many kinds of talent, regardless of age, gender, ethnic background, sexual orientation, disability or other characteristics - Metsä is for all. Read more: metsagroup.com/metsaforall .

This recruitment is carried out anonymously.

Metsä Group is looking for a

DATA SCIENTIST

to join our Digital & AI function in Espoo, Finland.

What is the job that awaits you?

As a Data Scientist, you will help transform complex business challenges into data-driven solutions that create measurable business value. By applying advanced analytics, machine learning, optimization techniques and generative AI, you will identify new opportunities to improve operational efficiency, automate decision-making and support innovation across the organization.

In this role, you will design, develop and evaluate machine learning, optimization and AI-based solutions, taking ideas from initial hypotheses and experimentation through to scalable, production-ready capabilities. You will work closely with business experts, data engineers and software developers to solve challenging business problems and unlock the value of data.

You will be responsible for managing experimentation portfolios and model inventories, assessing experiment outcomes and recommending the next steps, whether that means further refinement, MVP development or full-scale deployment. You will also help establish best practices, development standards and governance models for data science and AI initiatives. Occasionally, you will work as a methodological mentor for more junior level data scientists and analysts.

As a trusted advisor and subject matter expert, you will communicate analytical findings and recommendations to stakeholders, helping turn complex insights into clear business actions and strategic decisions.

This is a permanent position and you will report to Development manager, AI.

What are we expecting of you?

We are looking for a curious and business-minded data science professional who enjoys solving complex challenges through data, analytics and AI. You are comfortable working at the intersection of business and technology and can translate analytical insights into practical business value.

To succeed in this role, you should have

• A Master's or PhD degree in Applied Mathematics, Economics, Data Science, Computer Science, Software Engineering, or another similar discipline.
• Strong expertise in advanced analytics, machine learning, optimization methods and mathematical modelling.
• Experience in hypothesis-driven problem solving, experimentation and business case evaluation.
• Excellent programming skills in Python and experience with data science libraries and SQL.
• Deep understanding of Databricks ML and AI capabilities and modern cloud-based data science environments.
• Knowledge of Azure AI Foundry, Azure cloud services and version control tools such as Azure DevOps Repos.
• Experience in automating development and coding tasks via AI based tools like Genie Code, GitHub Copilot or similar.
• The ability to communicate complex analytical concepts and results to both technical and non-technical audiences.

In addition, you are proactive, analytical and eager to challenge existing ways of working. You enjoy collaborating with stakeholders from different disciplines and can balance technical excellence with practical business needs. Ability to facilitate business problem definition workshops seen as advantage.

Most importantly, you are excited about using data, AI and advanced analytics to create real business impact and help shape the future of data-driven decision-making at Metsä Group.

Career in the new era at Metsä Group

An international growth business - build a successful career At Metsä Group. The forest industry is a prime example of the bioeconomy and circular economy, and shows the way to the future. Megatrends such as urbanisation and rising living standards are driving Metsä Group's business and the shift to renewable fossil free raw materials. With us, you'll get to develop future skills, business and products with a long-term perspective, together with our top professionals. Our big company offers a wide range of career opportunities and many interesting challenges.

Metsä Group has a responsible corporate culture that creates a safe working environment for all of us. We value good leadership and support