AI Data Scientist

we are looking for between 1-2 experienced AI Data Scientists for our great client within the construction industry Start: 2026-11-18 End: 2026-05-31 Location: Stockholm, between 1-2 days/week onsite at the office About the role: Development of solution for business use case Early Warnings and be part of building up the foundation for ML foundation in our Azure environment. We are looking for someone who is motivated to understand the core business processes behind construction project performance — including cost, schedule, quality, and safety — and translate that understanding into practical, scalable solutions. The team works collaboratively across business and technology to empower the organization and create measurable value. The Data Scientist will work closely with business stakeholders to: Translate risk hypotheses into measurable indicators Design and develop end-to-end solutions (data pipelines, models, logic, visualization, and deployment) Ensure insights are actionable and aligned with real project needs Contribute to building a sustainable ML and data foundation Your profile As a Data Scientist in the AI Service team, you'll drive Machine Learning adoption by enhancing the analytics platform for advanced business use-cases. Build and assess proofs of concept for new applications and guide top candidates to production. Help contribute to a scalable ML platform architecture in Microsoft Azure and Databricks. Establish ML foundations at scale—cloud setup, data pipelines, and CI/CD—with the Business Analytics team. Assist with new use-cases and help stakeholders define requirements. Must have: English and Swedish required. Academic degree in computer science, engineering, mathematics, or related field. Machine learning experience with real-world applications Data handling skills in Python and SQL Experience with cloud platforms (preferably Azure & Databricks) Knowledge of databases, data warehouses, or lakes Experience in independent data exploration, validation, and visualization Nice to haves: Familiarity with common Large Language Model patterns Web based frontend development Hands-on with Databricks MLops