Top Data Science Jobs in Poland

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

Provides technical and project support for air and water quality modelling, environmental research, data analysis, and monitoring systems. Responsibilities include validating and analysing environmental datasets, maintaining emissions inventories, preparing model inputs, supporting pollution investigations and research, deploying and testing monitoring equipment, managing procurement activities, and preparing technical reports and presentations. The role also requires fieldwork and collaboration with engineers, scientists, monitoring teams, and stakeholders.

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.

Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.

Lead the transformation of legacy products into a unified enterprise platform. Translate strategy into roadmaps, manage backlogs, prioritize cross-functional initiatives, and coordinate Engineering, UX, AI, Data Science, Commercial, and Operations teams. Drive platform discovery, delivery, launch, adoption, and measurable business outcomes. Integrate trustworthy AI and data capabilities into customer-facing workflows while influencing senior stakeholders and balancing customer value, commercial goals, technical feasibility, risk, and resources.

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.

Design and implement data-driven applications and end-to-end data systems for clients. Responsibilities span cloud engineering, infrastructure, data engineering, ETL, machine learning, and data science. The role involves evaluating and presenting results, applying software engineering best practices, collaborating with data scientists and stakeholders, and delivering solutions through agile, iterative development.

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.

Leads a supervisory team responsible for AI risk management in the financial sector. Develops supervisory frameworks, addresses AI policy and regulatory issues, coordinates with government agencies and international standards bodies, supports organizational AI strategy, and directs research on emerging AI risks and mitigation. Manages team resources, project timelines, and deliverables while engaging technical and non-technical stakeholders.

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 Danaher’s global AI Engineering, Integration and Operations organization, converting AI prototypes and capabilities into secure, scalable, production-grade solutions. Responsibilities include establishing engineering and operational practices, leading multidisciplinary teams, partnering with product and governance leaders, planning engineering capacity, and ensuring reliable deployment, support, adoption, and continuous improvement of enterprise AI solutions.

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.

Leads data scientists and engineers building scalable data infrastructure, pipelines, machine learning products, and price optimization systems. Responsibilities include architecture, batch and streaming workflows, data quality, testing, observability, sprint planning, code reviews, recruitment, mentoring, and hands-on development. The role requires strong Python, SQL, data modeling, orchestration, cloud platform, and people-management experience.

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.

Manage strategic client relationships across multiple industries, serving as the primary contact and ensuring satisfaction, commercial performance, and solution alignment. Translate client goals into actionable plans, lead cross-functional initiatives, support renewals and cross-sell opportunities, monitor performance metrics, resolve issues, and represent customer needs internally. Frequent travel to Genoa, Italy is required for client meetings and on-site engagements.

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.

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

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.

Design, develop, and deploy Generative AI and ML solutions (LLMs) on cloud (primarily GCP/Vertex AI). Build backend services in Python, collaborate with data scientists and product owners, and drive projects from design to production.

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.

Collects and analyzes consumer, market, and campaign data; develops statistical models, dashboards, and customer presentations; and collaborates with teams to explain insights and support business decisions. The role requires analytical problem-solving, data pipeline and dataset experience, strong Excel and PowerPoint skills, and professional English communication. Recent graduates and candidates with 1–3 years of analytics or marketing analytics experience are encouraged to apply.

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.