This position focuses on developing advanced analytics and AI solutions that create measurable business impact across the organization. The person will work on real-world industrial use cases, especially in areas such as manufacturing, engineering and operations, translating business challenges into data-driven solutions and models that support decision-making, process optimization and new capabilities. Role description:

• Develop and implement data science and AI models for industrial use cases
• Translate business problems into analytical approaches and practical solutions
• Perform data exploration, data preparation and feature engineering
• Work closely with Data Engineers to ensure data availability and usability
• Collaborate with business stakeholders to understand needs and ensure business relevance
• Support the deployment of models into production environments
• Monitor and improve model performance over time
• Contribute to the development of scalable AI capabilities and best practices
• Communicate results, insights and recommendations in a clear and business-oriented way
• Support decision-making, process optimization and the development of new business capabilities through data and AI solutions

Qualifications:

• Degree in Data Science, Mathematics, Computer Science, Engineering or a related field
• Several years of experience in data science, machine learning or applied analytics
• Strong programming skills, especially Python and SQL
• Experience with machine learning and statistical modeling
• Familiarity with industrial or operational data is considered a strong advantage
• Experience with model deployment and MLOps concepts is beneficial
• Strong analytical and problem-solving skills
• Ability to work effectively in cross-functional teams
• Strong communication skills and good business understanding