8,924 data scientist | machine learning jobs in Polska.
Search current data scientist | machine learning jobs, vacancies, and employment in Polska on Jobeax. 8,924 data scientist | machine learning jobs in Polska.
A global professional services firm is seeking an experienced candidate to lead SAP S/4HANA implementation projects in Warsaw. The role involves managing data migration efforts, ensuring successful project delivery, and supporting clients through IT transformations. Ideal candidates will have over 8 years of SAP data migration ...
Incubly is seeking a Software Engineer – Full Stack, Mobile & Data to join an R&D project spanning Android, web, backend, data processing, ML and AWS infrastructure. You will work across the full software lifecycle from requirements to deployment, delivering robust, scalable solutions. The role requires strong fundamentals ...
Nordea seeks an IT Developer/Data Engineer to advance data engineering for Capital and Credit Data Foundation. The role focuses on building scalable ELT/ETL pipelines, optimizing SQL/PLSQL, and implementing CI/CD for data infrastructure. Work spans on-prem and cloud in a hybrid environment across Poland and Finland. You ...
Phoenix Court Group is looking for an experienced software engineer specializing in large-scale data processing systems. You will be responsible for designing systems that handle billions of requests daily, improving application efficiency and scalability. With a minimum of 8 years’ experience in software development, proficiency ...
... cloud-native patternsBuild and optimize ETL/ELT workflows to support analytical and operational use casesImplement data modeling strategies aligned with modern data lakehouse architecturesEnsure data quality, governance, and monitoring across all data assetsDeliver secure, scalable, and highly available data solutions following ...
... translate them into features or user stories, and drive handover to developers in a complex, multi-stakeholder environment. The ideal candidate has 5–10 years as a Senior Business Analyst or Senior IT Analyst, solid data governance and SQL experience, and a background in banking or large-scale programs with 300+ staff.
Procter & Gamble's Platform Customer Success Engineer (Data & AI) role focuses on helping technical teams adopt enterprise platform capabilities, accelerate onboarding, and resolve complex technical challenges. You will partner with data engineers and development teams to design robust solutions and promote reusable golden ...
IG KnowHow is seeking a Senior Data Engineer based in Kraków, Poland. In this role, you will design and build robust data pipelines on GCP, ensuring data quality and integrity. You will work collaboratively within a hybrid model, balancing office presence and remote work. The ideal candidate will have proven experience ...
... Retail wspierających kluczowe procesy biznesowe organizacji, Projektowanie, konfiguracja i rozwój rozwiązań SAP Retail w zakresie danych podstawowych (Master Data Management), workflow oraz procesów związanych z handlem i łańcuchem dostaw, Odpowiedzialność za obszary takie jak Article Master, Assortment Management, Listing ...
... Automate. Doświadczenie w projektowaniu i wdrażaniu rozwiązań automatyzujących procesy biznesowe. Minimum 3 lata doświadczenia w projektach związanych z AI lub Machine Learning. Doświadczenie w prowadzeniu szkoleń, warsztatów. Znajomość Power BI, RPA, Azure oraz technologii chmurowych. Doświadczenie w projektowaniu architektury ...
... Automate. Doświadczenie w projektowaniu i wdrażaniu rozwiązań automatyzujących procesy biznesowe. Minimum 3 lata doświadczenia w projektach związanych z AI lub Machine Learning. Doświadczenie w prowadzeniu szkoleń, warsztatów. Znajomość Power BI, RPA, Azure oraz technologii chmurowych. Doświadczenie w projektowaniu architektury ...
... a massage mat - small things that make your day better. You’re also welcome to bring your child or pet to the office - we genuinely love having them around Learning & development Access to language learning (English, German, Polish) via an app, along with a wide range of courses, podcasts and learning tools. You’ll also ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...
... kernels (using languages like Pallas, Mosaic and Triton) targeting Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) architectures for critical Machine Learning (ML) operations, redefining what's possible from massive training runs to high-speed inferenceArchitecture of infrastructure such as benchmarking suites, ...
... kernels (using languages like Pallas, Mosaic and Triton) targeting Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) architectures for critical Machine Learning (ML) operations, redefining what's possible from massive training runs to high-speed inferenceArchitecture of infrastructure such as benchmarking suites, ...
... kernels (using languages like Pallas, Mosaic and Triton) targeting Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) architectures for critical Machine Learning (ML) operations, redefining what's possible from massive training runs to high-speed inferenceArchitecture of infrastructure such as benchmarking suites, ...