Data Scientist

About this job

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 Your Profile 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 indus

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Most-requested skills in Sweden

Based on 408 Sweden vacancies that list requirements, these are the skills employers ask for most often.

• SQL62% of postings
• Python59% of postings
• Power BI34% of postings
• Statistics20% of postings
• Snowflake20% of postings
• dbt19% of postings
• ETL19% of postings
• Machine Learning19% of postings

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