Top Data Science Jobs in Poland

The role involves developing analytics and insights for Procurement, applying data analytics, establishing data governance, and collaborating with stakeholders to enhance decision-making and operational effectiveness.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead a team in supervising AI risk management for the financial sector, develop frameworks, coordinate with agencies, drive research on AI trends, and manage project deliverables.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

The Associate Director, Product Management will lead the development of AI-enabled products in Data Science, focusing on regulatory workflows and product lifecycle management.

The Technology Recruiter will manage the end-to-end hiring process for engineering roles, develop sourcing strategies, assess candidates, and strengthen the employer brand while ensuring an exceptional candidate experience.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Oversee product strategy and development in EdTech and AI, manage teams, and drive data-informed decisions aligned with business goals.

The Head of Compliance and Quality Governance will lead strategy, management, and operational execution of compliance within a biotech environment, ensuring adherence to regulations and promoting operational excellence.

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

The role involves leading and developing prototypes related to core banking functions, engaging with partners, managing projects, and representing BIS at events.

As a Data Science Intern, you will support the Data Science Lab team with data-driven solutions, predictive modeling, and analytics for Visa's clients.

The trainee will implement AI solutions in factory settings, deploy tools for industrial challenges, analyze data for machine learning models, and support local teams across European sites.

The Senior Data Science Engineer will architect software solutions, drive AI research, design AI systems, and mentor junior engineers while focusing on innovative solutions in the travel domain.

The Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

Lead clinical data science across global trials: own EDC builds, integrations, UAT, data documentation, cleaning, vendor reconciliation, and database locks while ensuring CDISC/ICH-GCP compliance, driving innovation, managing risks, and partnering with sponsors and cross-functional teams to deliver regulatory-ready data.

Lead hands-on credit-risk analytics: validate anonymized enterprise data, build PD/delinquency/scorecard models, establish model-validation and documentation, define features in SQL/dbt/Python, prototype a natural-language insight layer, and lead a small delivery pod while presenting findings to executives.

The role involves leading a team of Data Science Engineers to develop sports analytics and predictive models, ensuring high quality of data science workflows and collaboration with the Engineering Manager.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

As a Marketing Science Analyst, you'll analyze consumer behavior, develop statistical models, and collaborate with teams to derive insights for better decision-making and business performance.

The role involves credit risk data analysis, report creation, and model monitoring with responsibilities varying based on experience level. Senior positions include designing data marts and preparing reports.