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Are you passionate about pushing the development of the next generation data analytics solutions at a leading global company? Toyota Material Handling's R&D department is on the lookout for a talented and motivated Data Scientist to help shape the future of connected forklift solutions. If you thrive on exploring state-of-the-art AI/ML techniques while also delivering impactful insights using classical analysis methods, we want to hear from you!
The position
Our data analytics team is at the forefront of transforming how data drives decision-making at Toyota Material Handling. We work with an exciting range of tasks, from classical data analysis and interactive visualizations of connected data to the latest AI/ML models and edge computing. Our mission is to generate meaningful insights and features from diverse data streams, advancing Toyota’s innovation and leadership in the industry. In this role, you’ll have a direct impact on both the team's vision and the development of next-generation, data-driven functionalities.
As a Data Scientist, you will:
Who is R&D Toyota Material Handling?
Toyota Material Handling is a world leader in material handling and we are making large investments to meet the needs of the future. At our R&D department in Mjölby, 300 employees work on the development of our products and services as well as new innovative solutions. At Toyota, we work with a holistic perspective where employees have responsibility from concept to finished product.
At Toyota, we combine classic design with modern technology in automation, IoT and AI. Our product portfolio ranges from manual hand trucks to driverless vehicles with advanced technology. In the R&D department, we work with short development cycles to meet the demand of a rapidly growing market.
Together, we work in cross-functional teams with agile working methods. Everyday life at R&D alternates between theory and practice, with great opportunities for our engineers to test their new technical solutions in practice in our extensive modern test lab. Our large-scale production lies side by side with R&D, which creates good conditions for direct feedback from the practical application of the products.
The employees in R&D describe our managers and leaders as inclusive, attentive and without prestige. We at Toyota are keen to create a familiar working climate with opportunities for personal development and good career prospects.
Toyota as an employer
At Toyota Material Handling, we strive to be a friendly, safe, and progressive workplace. The culture is based on Toyota's values, where respect and caring actions are key words in the daily work. Our ambition is to strengthen competitiveness by increasing diversity in operations and taking advantage of differences. Through our environmental work, ambitious climate goals and our personnel policy, we work to be a sustainable employer.
In order to create the conditions for a sustainable everyday life, we offer our employees flextime and the opportunity to work remotely on a part-time basis. We have good training opportunities with free access to gyms and group training, as well as a generous wellness allowance.
Application
Send your application no later than 2025-08-17.
If you are applying for a job and have a protected identity you should contact HR, who will guide you further for a secure application process.
For more information please contact (notice that we're on vacation w.29-32 but will answer as soon as possible):
Linkedin: Toyota Material Handling Manufacturing Sweden AB
#MS
The position
Our data analytics team is at the forefront of transforming how data drives decision-making at Toyota Material Handling. We work with an exciting range of tasks, from classical data analysis and interactive visualizations of connected data to the latest AI/ML models and edge computing. Our mission is to generate meaningful insights and features from diverse data streams, advancing Toyota’s innovation and leadership in the industry. In this role, you’ll have a direct impact on both the team's vision and the development of next-generation, data-driven functionalities.
As a Data Scientist, you will:
- Develop and implement innovative forklift functionalities using AI/ML algorithms, driving smarter and more efficient operations.
- Transform raw data into actionable insights, enabling data-driven decision-making that shapes strategic initiatives across the company.
- Collaborate on cutting-edge research projects with academic partners to develop and refine AI/ML solutions that lead the industry.
- Foster a culture of collaboration and knowledge-sharing within our team, contributing to our collective success and growth.
- A master’s degree in data science, engineering physics, computer science, statistics, machine learning or a related field
- 2+ years of experience in a Data Scientist or similar analytical role, with a proven ability to independently manage and drive your projects.
- Strong programming skills in languages such as Python, R, and SQL, along with experience using data science and AI/ML frameworks.
- A strong interest in exploring data to find new insights and develop innovative functionalities.
- A solid understanding of machine learning techniques, data modelling and statistical analysis
- Experience or interest in Data Engineering is a plus.
Who is R&D Toyota Material Handling?
Toyota Material Handling is a world leader in material handling and we are making large investments to meet the needs of the future. At our R&D department in Mjölby, 300 employees work on the development of our products and services as well as new innovative solutions. At Toyota, we work with a holistic perspective where employees have responsibility from concept to finished product.
At Toyota, we combine classic design with modern technology in automation, IoT and AI. Our product portfolio ranges from manual hand trucks to driverless vehicles with advanced technology. In the R&D department, we work with short development cycles to meet the demand of a rapidly growing market.
Together, we work in cross-functional teams with agile working methods. Everyday life at R&D alternates between theory and practice, with great opportunities for our engineers to test their new technical solutions in practice in our extensive modern test lab. Our large-scale production lies side by side with R&D, which creates good conditions for direct feedback from the practical application of the products.
The employees in R&D describe our managers and leaders as inclusive, attentive and without prestige. We at Toyota are keen to create a familiar working climate with opportunities for personal development and good career prospects.
Toyota as an employer
At Toyota Material Handling, we strive to be a friendly, safe, and progressive workplace. The culture is based on Toyota's values, where respect and caring actions are key words in the daily work. Our ambition is to strengthen competitiveness by increasing diversity in operations and taking advantage of differences. Through our environmental work, ambitious climate goals and our personnel policy, we work to be a sustainable employer.
In order to create the conditions for a sustainable everyday life, we offer our employees flextime and the opportunity to work remotely on a part-time basis. We have good training opportunities with free access to gyms and group training, as well as a generous wellness allowance.
Application
Send your application no later than 2025-08-17.
If you are applying for a job and have a protected identity you should contact HR, who will guide you further for a secure application process.
For more information please contact (notice that we're on vacation w.29-32 but will answer as soon as possible):
- Mattias Tingström, Recruiting Manager, [email protected]
- Josefin Nilsson, HR, [email protected]
Linkedin: Toyota Material Handling Manufacturing Sweden AB
#MS
Key Skills
Ranked by relevance
machine learning
data analysis
python
sql
ai
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- Posted
- Jul 03, 2025
- Type
- Part-time
- Level
- Entry
- Location
- Mjölby
Industries
Transportation
Logistics
Supply Chain
Storage
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-07-06
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