At Toyota Material Handling Europe, we create the technology that keeps the world moving. We are over 13,500 colleagues passionate about supporting companies of all sizes with todays and tomorrow’s material handling challenges. Because we know that our business and our industry are essential and sometimes even critical for them, for daily life and society at large.
In our respective headquarters in Mjölby, Sweden, Willebroek, Belgium, in our Sales companies across Europe or in our factories in France, Italy and Sweden, you can be part of an extraordinary journey. And together, we will Move the world towards easy and sustainable.
The Position
At Toyota Material Handling Europe, we are accelerating our journey towards becoming a data-driven and AI-enabled enterprise. As part of this transformation, we are looking for a Data Scientist with strong engineering capabilities to join our Data & Advanced Analytics organization. In this role, you will focus on designing, developing, deploying, and operating AI/ML solutions at enterprise scale, leveraging Snowflake and Snowpark as the core platform. You will play a key role in moving from analytics-driven insights to production-grade, AI-powered solutions embedded in business processes. You will work in a product-oriented setup, collaborating with cross-functional teams to deliver AI-enabled data products that create measurable business value across the organization.
You will report to Head of Data and Advanced Analytics.
Your Responsibility
As a Data Scientist in our team, you will work across the full AI/ML lifecycle:
Data Science & AI Solution Development
- Design, develop, and deploy machine learning models and advanced analytics solutions, owning the full lifecycle from exploration to production
- Apply statistical and AI/ML techniques to solve business problems, continuously improving models to maximize impact
MLOps & Engineering Practices
- Operationalize models into scalable, production-grade solutions using MLOps best practices (CI/CD, automation, monitoring, and retraining)
- Ensure reliability, scalability, and performance of ML solutions in collaboration with Data Engineering teams
Data Platform & Collaboration
- Work with modern data platforms (e.g., Snowflake) to build scalable data and AI solutions in close collaboration with cross-functional teams
- Translate business needs into technical solutions and contribute to shared frameworks, standards, and best practices
Business Impact & Stakeholder Engagement
- Partner with stakeholders and product teams to identify use cases, deliver insights, and drive data-informed decisions
- Communicate findings and recommendations clearly to both technical and non-technical audiences
Governance & Continuous Improvement
- Contribute to responsible AI, data quality, and governance practices across the ML lifecycle
- Stay up to date with industry trends and support the growth of a strong, data-driven culture
How You Will Work
- Work in agile, product-oriented, and cross-functional teams across data, engineering, and business
- Apply DevOps and MLOps principles to enable continuous delivery within a governed enterprise data ecosystem
Your Profile
We are looking for a strong, hands-on profile combining data science and ML engineering capabilities:
- Proven experience as a Data Scientist (or similar role), with hands-on expertise in developing and deploying machine learning models in production environments
- Strong programming skills in Python and SQL, with experience in data manipulation, statistical analysis, and ML frameworks
- Solid understanding of the full ML lifecycle, including model development, deployment, and monitoring
- Experience working with modern data platforms and cloud environments, preferably Snowflake
- Knowledge of MLOps practices, including versioning, CI/CD pipelines, and model performance monitoring
- Ability to translate complex business problems into data-driven solutions and communicate insights clearly to stakeholders
- Strong collaborative mindset, with experience working in cross-functional teams alongside Data Engineers, Analysts, and business stakeholders
- Curious and proactive approach, staying up to date with the latest developments in AI/ML and contributing to a data-driven culture
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Fluent in English (Swedish is a plus)
Our Offer
At Toyota Material Handling Europe, we’re not just a global leader in a fast-paced industry – we are a team that values collaboration, growth and making a real impact for our customers. In our dynamic, diverse and international environment, we offer a workplace where you can truly thrive and bring your ideas to life. This position is based at our European Headquarters in Mjölby, Sweden with remote work options available up to two days a week.
We’re committed to supporting you with an attractive benefits package, including a yearly bonus and flexible work arrangements that allow you to balance your personal and professional life. With clear goals and direction from senior leadership, you’ll also find abundant opportunities for career growth and development within the company. Our organisational support ensures that you can maintain a healthy work-life balance while pursuing meaningful work that shapes the future of our industry.
At Toyota Material Handling Europe, we believe in continuous learning and provide plenty of opportunities to develop new skills and take on exciting projects. Collaboration is at the heart of everything we do, and we take pride in fostering a supportive, open environment where every voice is heard.
Time for you to make a MOVE!
Your Application
Submit your application in English no later than August 9th, 2026. Applications only accepted through our recruitment system. We screen continuously, so do not miss out and send in your application today! Interviews will start in August/September 2026.
For more information about this position, please contact Rikard Larsson Head of Data and Advanced Analytics; [email protected]
If you need support with your application or have questions about the recruitment process, please contact Victoria Östryd Söderlind Recruitment Specialist; [email protected]
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