Top Data Science Jobs in Krakow

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.

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.

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.

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.

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.

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, 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.

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.