Build intelligent models that power smarter decisions for global brands

DataOrbis, part of Smollan’s global Data & Technology cluster, delivers scalable data and analytics solutions to leading FMCG and retail organisations. Our mission is to transform complex data into actionable intelligence, enabling smarter decisions, automation, and measurable commercial impact across markets.

We are expanding our capability in Slovenia and looking for a Senior Data Scientist to join our growing, cross-functional team. This role offers a unique opportunity to work at the intersection of advanced analytics, machine learning, cloud platforms, and real-world retail intelligence, all within a strategic European hub driving innovation for the region and beyond.

What You’ll Do:

• Lead the design, development, and deployment of machine learning, predictive, and GenAI models delivering measurable business value across retail and FMCG use cases.
• Perform exploratory data analysis (EDA) to uncover insights, trends, and patterns that inform strategy, operations, and commercial decisions.
• Build, optimise, and productionize end-to-end ML pipelines in collaboration with Data Engineering and MLOps teams.
• Work with large-scale datasets using distributed processing frameworks such as Spark and PySpark.
• Develop advanced modelling frameworks for forecasting, classification, optimisation, simulation, and recommendation systems.
• Deploy models on cloud platforms such as Databricks, Azure ML, or Vertex AI, ensuring reliability, scalability, and alignment with best practices.
• Integrate models and insights into business workflows using APIs, automation pipelines, and cloud-native services.
• Communicate analytical findings through clear narratives, visualisations, and business-oriented storytelling.
• Partner across commercial, supply chain, operations, finance, and IT to embed analytics into core business processes.
• Apply MLOps principles for monitoring, retraining, CI/CD deployment, and lifecycle governance of ML solutions.
• Evaluate new techniques, tools, and technologies to continuously improve our modelling ecosystem.

About You:

• 5+ years of experience as a Data Scientist, ML Engineer, or similar analytical role.
• Advanced proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Strong SQL capability and experience working with large, diverse datasets.
• Hands-on expertise with Databricks, Azure ML, or Vertex AI, including distributed processing (Spark/PySpark).
• Solid understanding of machine learning theory, model evaluation, feature engineering, and statistical analysis.
• Experience deploying ML models into production environments and integrating them into operational workflows.
• Ability to communicate complex analytical concepts in clear, actionable business language.
• Strong collaboration skills, with experience working across engineering, product, and business teams.
• A passion for solving real-world problems and delivering measurable business value through AI and ML.
• Experience or interest in the retail or FMCG industry is advantageous.
• Exposure to GenAI, prompt engineering, and automation tooling (N8N, AgentKit, or similar).
• Familiarity with CI/CD, MLOps workflows, and automated ML lifecycle processes.
• Understanding of APIs, microservices, or cloud-based integration patterns.
• Experience with visualisation tools such as Power BI, Pyramid Analytics, or Python-based visualisation libraries.
• Comfortable working across Azure or GCP cloud ecosystems.

Why Join DataOrbis in Slovenia?

• Be part of a high-impact, European growth initiative, shaping how we serve clients across the continent and beyond.
• Collaborate across brands, geographies, and technologies with some of the most ambitious minds in data.
• Work within an organization that values innovation, simplicity, and integration at its core.
• Flexible work arrangements, competitive salary, international exposure, and a clear growth trajectory.
• A culture built around collaboration, curiosity, and meaningful impact.