Top Data Science Jobs in Warsaw

Analyze business data using statistical, predictive modeling, machine learning, and visualization techniques. Develop, evaluate, and monitor analytics models; identify data sources; test hypotheses; generate actionable insights; and communicate recommendations to stakeholders. Collaborate with technical and functional teams to implement models, assess business value, ensure data accuracy, and improve analytics processes and tools.

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.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Own the global B2B content strategy for enterprise audiences, creating website copy, advertising, whitepapers, case studies, thought leadership, social content, video scripts, and sales enablement materials. Build AI-assisted content workflows with prompt libraries, source-of-truth repositories, context engineering, quality controls, and human review. Partner with Product, Sales, and regional Marketing teams to communicate complex AI products and optimize content using performance data.

Manage Independent Data Monitoring Committee and endpoint adjudication projects for clinical trials. Responsibilities include planning schedules and budgets, coordinating innovation, data science, and technology teams, monitoring risks and progress, communicating with stakeholders, and supporting emerging technology integration. The role requires strong project management, organization, communication, and cross-functional collaboration skills, with endpoint adjudication experience preferred.

Leads a team of data scientists and engineers building scalable data platforms, pipelines, and machine learning products for real-time price optimization. Responsibilities include architecture, distributed batch and streaming workflows, data quality, testing, observability, model research, sprint planning, code reviews, hands-on development, recruitment, mentorship, and performance management.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, apply modern deep learning architectures, and collaborate with senior engineers on reliable AI products. Responsibilities include software development with Python, database integration, containerization with Docker, and potentially developing RAG pipelines, vector database solutions, and fine-tuned LLMs.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

Manage strategic client relationships across multiple industries, serving as the primary account contact and aligning Fetcherr’s AI products with customer objectives. Drive client initiatives, stakeholder coordination, product adoption, cross-sell opportunities, renewals, commercial discussions, and issue resolution. Analyze performance metrics, provide strategic recommendations, and represent client needs internally. Frequent travel to Genoa, Italy, approximately twice monthly, is required.

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 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.

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.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

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.