Company Description

Today, we are not utilizing resources in a sustainable way. In fact, the world is only 9% circular, meaning much of the Earth’s precious resources are only used once, leaving huge untapped potential for more sustainable resource management. TOMRA provides cutting-edge solutions for optimal resource productivity within the recycling, mining and food industries and is therefore uniquely positioned to shape the Circular Economy, creating demand for this way of thinking in the world. At TOMRA we want to be a thought leader, encouraging a more sustainable way of thinking and inspiring active change around the world.

TOMRA Recycling is a global leader in the field of automated sensor-based waste sorting, also being a pioneer in its field - currently TOMRA Recycling has an installed base of close to 6,460 units across more than 40 markets.

With our deep application knowledge, powerful machine learning software and a variety of in-house developed sensors we offer our customers state-of-the-art, high-performance sorting solutions for maximum purity and yield.

At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.  

Job Description

TOMRA Sorting Solutions serves the world’s most important recyclers with sorting solutions and services, and is expanding rapidly on a global scale. As part of our growth, we are actively driving the transition towards digitally enhanced customer solutions to achieve new levels of efficiency, quality and transparency.

Recycling plants are complex processes with a low level of digitalization and therefore a big optimization potential deploying state-of-the-art data driven technologies exists. As a Data Scientist will play a crucial role in advancing TOMRA Recycling's sensor-based sorting technology. This role involves analyzing vast amounts of data to enhance sorting algorithms, improve system efficiency, and support the development of innovative solutions for recycling and material recovery. The ideal candidate will have a strong background in data analysis, machine learning, and a passion for sustainability and environmental impact reduction.

Your task

• Analyze large datasets from sensor-based sorting systems to identify patterns, trends, and insights that can improve sorting efficiency and accuracy.
• Develop and refine machine learning algorithms to enhance the performance of sorting technologies, ensuring high precision in material identification and classification. This could be done by manipulating a sorter based on external data. 
• Establish and maintain data pipelines, ensuring the integrity, quality, and accessibility of data from various sensor sources.
• Create comprehensive reports and visualizations to communicate findings, model performance, and insights to both technical, non-technical stakeholders as well as customers.
• Stay abreast of the latest developments in data science, machine learning, and recycling technologies by contributing to innovative projects, developing proof of concepts (POCs) and pilot studies.
• Collaborate with cross-functional teams including the R&D development team, product managers, and customers to develop holistic solutions.

Qualifications

• Master's degree in Data Science, Computer Science, Engineering, or a related field.
• Proven experience (+3 years) in data analysis, machine learning, and statistical modeling.
• Proficiency in programming languages such as Python, R, or similar.
• Familiarity with big data technologies and tools (e.g., Hadoop, Spark).
• Strong analytical, problem-solving, and communication skills.
• Passion for sustainability and environmental conservation.

Additional Information

Your benefits

• 30 days annual leave;
• Supported company pension scheme;
• Supported group accident insurance;
• International SOS for private use;
• Hybrid working principles, flexible working hours;
• Opportunity to purchase TOMRA shares;
• Employee benefit discounts for TOMRA Online Shop;
• Company (e-) bike leasing;
• Gym membership coverage support;
• Office comfort: free parking spaces, canteen, coffee machines;
• Professional and personal development: learning on the job, specialized course, conferences etc.;
• Coaching opportunities - Individual Development Programs;
• Norwegian corporate culture (no hierarchical thinking, transparent communication culture).

Are you interested?

Please send your CV in English.

(!) We value your time, instead of lengthy motivation letter, simply answer one question in the "Message to Hiring Manager" section when submitting your resume:

• What is the name of the main sorting machine at TOMRA Recycling?

If there´s anything else you want to let us know or highlight, please feel free to add a further remark.

*Tomra does not differentiate on the basis of gender, race or ethnicity, religion, color, sexual orientation or identity, disability, age and other protected statuses as given by applicable law. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer.

Most important – it’s a match!

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The application deadline is July 28, 2024.