Your responsibilities, Translate business problems into analytical solutions: define hypotheses, choose metrics, and select the right modeling approach for the question at hand, Explore, clean, and prepare data using Python (pandas, NumPy), working with structured and semi-structured sources of varying quality, Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels, Design and analyze experiments: A/B tests, statistical hypothesis testing, and causal analysis that hold up to scrutiny, Work hands-on with enterprise data platforms such as Microsoft Fabric (lakehouses, notebooks, semantic models) and Palantir Foundry (pipelines, ontology, operational workflows), Communicate findings through clear visualizations, dashboards, and narratives tailored to technical and non-technical stakeholders alike, Collaborate with data engineers on data availability and quality, and with ML/AI engineers to move models from notebook to production, Monitor deployed models for drift and degradation, and own the retraining and improvement cycle What we offer, AI Grant — Stop talking about AI and start building it. Our AI Grant gives you dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else., AI Center of Excellence — Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn’t a siloed team — it’s the people you’ll learn from and build with daily., Your tools, your choice — Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you., Real project variety — From generative AI for legal document compliance, through agentic systems in manufacturing environments, to enterprise-scale AI platforms, computer vision, and autonomous driving. You won’t get bored., Conference and speaking support — Want to attend conferences? We’ll back you. Want to speak at them? Even better — we’ll support you with dedicated preparation time and bonuses., Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas, Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market, We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022, Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more, Comfortable workplace – class A offices or remote work, Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application, PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers, Investment in your growth – meetups, webinars, training platform and technology blog – you choose, Fantastic atmosphere created by all Sii Power People

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Data Scientist – Python & Cloud Data Platforms (f/m/x)