Data Scientist

Billerud; Skärblacka; On-site; SEK 900,000 - 1,150,000; Full time

Benefits offered by this job

Performance-based bonus

Occupational pension

Employee benefits per policy

Job summary

Billerud is seeking a Data Scientist to join the Global Advanced Analytics team. You will work across multiple business areas, solving complex challenges and turning data into measurable business value.

The role emphasizes developing, deploying, and integrating advanced analytics solutions within a broad analytics lifecycle. You will collaborate with stakeholders, translate insights into business impact, and contribute to scalable analytics architectures.

Qualifications

• University degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• Minimum five years of experience within data science, advanced analytics, machine learning, optimization, or a related field.
• Strong programming skills in Python and SQL or equivalent.
• Experience working throughout the full analytics lifecycle, from problem definition and data exploration to modelling, validation, and implementation.
• Ability to translate business challenges into analytical solutions and communicate findings to non-technical stakeholders.
• Professional proficiency in Swedish and English

Responsibilities

• Solve business problems using advanced analytics, machine learning, optimization, and AI.
• Develop and deploy predictive models, machine learning algorithms, and AI-driven solutions.
• Translate analytical insights into actionable business recommendations.
• Collaborate with stakeholders to identify use cases, define objectives, business value, and success criteria’s.
• Ensure solutions are scalable, maintainable, and integrated into business operations.
• Contribute to data platform, analytics and AI architectures, standards, and best practices.
• Share knowledge and support capability building across the organization.

Skills

Python

SQL

Analytical thinking

Swedish

English

Education

University degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field

Tools

Snowflake

Databricks

Microsoft Fabric

Job description

Job Description

At Billerud we believe that when we have tomorrow in mind, we will do our very best today. It is thanks to our employees that we are a world-leading company within the field of renewable paper and packaging materials. Do you want to realize your true value and work for a sustainable tomorrow? Join us! We are now looking for a Data Scientist to join our Global Advanced Analytics team. The team plays a key role in accelerating the use of advanced analytics and AI across Billerud. Together with business stakeholders, technical experts, and IT teams, you will solve complex business challenges and transform data into measurable business value. As a Data Scientist in the Global Advanced Analytics team, you will work with a broad range of business areas within Billerud and across the full analytics lifecycle, from identifying opportunities and exploring data to developing, deploying, and integrating advanced analytical solutions into business processes. The position can be located in Grums, Frövi, Skärblacka, Gävle, Karlsborg or Solna.

Your Main Tasks Will Be

• Solve business problems using advanced analytics, machine learning, optimization, and AI.
• Develop and deploy predictive models, machine learning algorithms, and AI-driven solutions.
• Translate analytical insights into actionable business recommendations.
• Collaborate with stakeholders to identify use cases, define objectives, business value, and success criteria’s.
• Ensure solutions are scalable, maintainable, and integrated into business operations.
• Contribute to data platform, analytics and AI architectures, standards, and best practices.
• Share knowledge and support capability building across the organization.

At Billerud, we put Safety First. Together we take great pride in our responsibility to contribute to a safe work environment. Please read more about our Safety First initiative here.

Qualifications

• University degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• Minimum five years of experience within data science, advanced analytics, machine learning, optimization, or a related field.
• Strong programming skills in Python and SQL or equivalent.
• Experience working throughout the full analytics lifecycle, from problem definition and data exploration to modelling, validation, and implementation.
• Ability to translate business challenges into analytical solutions and communicate findings to non-technical stakeholders.
• Professional proficiency in Swedish and English

Meritorious

• PhD or postgraduate education
• Experience with cloud-based analytics environments such as Snowflake, Databricks, Microsoft Fabric
• Experience with generative AI, AI agents, or other modern AI technologies.
• Knowledge of data platform architecture, MLOps processes, or software development practices.
• Experience from manufacturing, process industry, or other industrial environments.

Personal qualities

For us, personality is important. To succeed in this position, we believe you are a curious and analytical problem solver who enjoys tackling complex challenges and turning data into practical business outcomes. You take initiative and move ideas forward, even when all parameters are not fully defined. You collaborate effectively with both technical and business stakeholders, building trust and creating strong partnerships across functions and regions. Since you will communicate advanced analytical concepts to different audiences, you are able to explain complex topics in a clear and transparent way. You structure your work well, balancing multiple initiatives while maintaining focus on agreed objectives, delivering results, and creating tangible business value. Our values are central to our business, and we believe you recognize yourself in We care for each other and We do what we say.

Application information

Selection may take place continuously during this process. Billerud is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all employees and candidates.

Why us?

• A unique opportunity to apply advanced analytics and AI to real business challenges in a global industrial company.
• Work with modern technologies and contribute to Billerud's AI and analytics journey.
• Be part of a highly skilled Global Advanced Analytics team with significant influence on strategic business initiatives.
• Opportunity to contribute to a more sustainable future.
• Development and career opportunities in an international organization.
• Performance-based bonus, occupational pension, and a wide range of employee benefits according to company policy.

Do you want to help create a sustainable future through your work? At Billerud, we are fully committed to reduce our and our customers carbon footprint by offering high-performance paper and packaging materials. We are convinced that the right solutions can be important toolsto help fight climate change. That's why we see it as our responsibility to enable the best packaging choices, for a better tomorrow. Our proud history in the forestry and paper industry goes back more than 150 years. Since then, we’ve grown to what we are today: a world leading company in high-performing paper and packaging materials - passionately committed to sustainability, quality, and customer value. Our materials are the basis of packaging and paper products used by millions of people around the world, 24 hours a day, all year round. We serve customers in more than 100 countries through our three business areas Liquid Packaging Board, Paper and Paper Board. Our nine production units are located in Sweden, USA, and Finland and we have around 5,200 employees in 16 countries. Our annual turnover is approximately SEK 40.5 billion and the share is listed on Nasdaq Stockholm. At Billerud we always put safety first, care for each other, and do what we say. Join us in redefining sustainable packaging and drive meaningful change for a better tomorrow.