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November 4, 2026

Senior Data Scientist – Financial AI & Analytics

Senior • On-site

16,800 - 27,300 PLN/yr

Warsaw, Poland

Quick Facts

  • Role: Senior Data Scientist – Financial AI & Analytics

  • Work model: Hybrid

  • Focus: AI-driven analytics for financial decision-making

Description

You will develop advanced analytics and AI solutions that transform financial decisions in a highly regulated environment. The role includes building predictive and prescriptive models, running statistical/AI experiments, and implementing machine learning models in production while monitoring performance. You’ll collaborate with stakeholders to turn business needs into actionable strategies, with strong emphasis on compliance and clear documentation.

Responsibilities

  • Analyze large, complex datasets to identify patterns and generate actionable insights

  • Design, develop, and validate predictive and prescriptive models

  • Conduct research experiments combining statistical methods with AI algorithms

  • Collaborate with stakeholders to translate business needs into effective data-driven solutions

  • Implement machine learning models in production environments and monitor their performance

  • Document methodologies, results, and recommendations clearly and comprehensively

  • Work alongside cross-functional teams including analysts, engineers, and business managers

  • Ensure compliance with financial regulations and data privacy standards

  • Stay updated with emerging AI and data science techniques and apply them practically

Requirements

  • Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar role

  • Proven expertise working with large datasets in financial or banking sectors

  • Strong programming skills in Python (with experience using Pandas, Scikit-learn, TensorFlow, or PyTorch)

  • Solid understanding of statistics, probability, and mathematical modeling

  • Hands-on experience deploying machine learning models in production

  • Knowledge of SQL and working with relational databases

  • Familiarity with big data tools and platforms such as Spark, Hadoop, or cloud services

  • Ability to design experiments and employ advanced analytical techniques

  • Excellent communication skills to present insights clearly to both technical and non-technical audiences

  • Fluent command of English (written and spoken)

  • Existing legal right to work in the European Union

Benefits

  • Hybrid work model

  • Opportunity to drive innovation in financial AI and analytics within a regulated environment

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