We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, ...
... Identify new opportunities for data-driven growth and champion data-based decision-making across the organization Requirements Minimum 5 years of experience as a Data Scientist Strong proficiency in SQL – ability to write complex queries, join large datasets, and prepare data for modeling Proficiency in Python (libraries such ...
... 1-2 years of prior experience in a data-driven environment delivering actionable insights. - Ninja expertise with Excel / Google Sheets is a must. - Advanced SQL is mandatory. Proficiency is a plus. - Skilled in Python, R or similar is a plus. - Experience working with large data sets - Ease in learning fast and adapting ...
... experience. Qualifications - Master's degree in engineering (Artificial Intelligence, Computer Science, or Data Science). - 1-3 years of experience in IT or data science, with hands-on experience in data management, advanced analytics, and machine learning. - Proficient in Power BI, Power Automate, and SQL. - Knowledge ...
... 1-2 years of prior experience in a data-driven environment delivering actionable insights. - Ninja expertise with Excel / Google Sheets is a must. - Advanced SQL is mandatory. Proficiency is a plus. - Skilled in Python, R or similar is a plus. - Experience working with large data sets - Ease in learning fast and adapting ...
... ekspertów z dziedziny procesowania i analizy danych w ramach Centrum Kompetencyjnego Data & Analytics. Oferujemy również rozwój w obszarach Data Science, Big Data i Machine Learning. Twoje zadania Projektowanie, budowanie i rozwijanie skalowalnych oraz wysokowydajnych platform przetwarzania danych w architekturze Data Lake ...
... literatury i stanu wiedzy - ocena zastosowalności nowych metod do specyfiki naszego stacku Jakie kompetencje są dla nas ważne? Minimum 5 lata doświadczenia w data science, applied science lub ML engineering Praktyczna znajomość Pythona (scikit-learn, pandas, numpy itp.) oraz SQL-a Wykształcenie kierunkowe na poziomie MSc ...
... inference concepts, experimentation design), selecting appropriate methods for complex data science problems. - Write efficient, modular, well‑tested code for data processing, feature engineering, and model training/inference, leveraging distributed tooling (e.g., Vertex AI pipelines, Dataflow, BigQuery) where appropriate. ...
... MLOps i AI oraz rekomendowanie kierunków rozwoju. Nasze wymagania - Minimum 3 lata doświadczenia w obszarze platform analitycznych, platform danych, MLOps, data science lub pokrewnym. - Bardzo dobrej znajomości SQL i Pythona. - Znajomości zagadnień MLOps, w tym wersjonowania, monitorowania, dokumentowania i odtwarzalności ...
... model governance, monitoringiem oraz CI/CD. Znajomość ML pipelines, feature engineering, model deployment oraz zasad Responsible AI. Doświadczenie w obszarach data governance, security, compliance i metadata management. Znajomość Python i SQL. Doświadczenie z Docker i Kubernetes. Bardzo dobre umiejętności komunikacyjne, ...
... dane rynkowe oraz zdarzenia transakcyjne w czasie rzeczywistym. Rozwijaj wysokowydajne systemy backendowe dla branży fintech! Java Developer - Trading & Market Data Miejsce: Poznań, ul. Grunwaldzka 182 (budynek Pixel 1). Praca hybrydowa (4 dni biuro - 1 dzień zdalnie w tygodniu) Budżet: 12 500 - 17 000 PLN O zespole: Dołączysz ...
... and clear storytelling around insights, risks, and trade-offs. Qualifications & Competencies (education, skills, experience): Master’s or PhD with 5+ years in Data Science or Applied ML, delivering production-impact solutions. Strong Python and SQL skills; expertise with standard data science libraries: pandas, NumPy, scikit-learn; ...
... enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services Work with AI Architects, data engineers, and client ...
A leading technology solutions provider is looking for an Operations Associate to manage customer data, provide support, and handle administrative tasks remotely. The ideal candidate will have a Bachelor’s degree and at least one year of relevant experience, including proficiency in Microsoft Excel. Strong organizational ...
... (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS) hands-on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable strong analytical ...
... highly regulated life sciences environments. You will be responsible for deploying, integrating, validating, and maintaining secure and GxP-compliant MQTT-based data pipelines running on Kubernetes, ensuring seamless data flow from physical plant floor assets to enterprise analytical systems. This role is fully remote, allowing ...
... improve the existing Microsoft Fabric setup and architecture Design, build, and maintain bronze, silver, and gold data pipelines Develop and optimise gold layer data models for analytics and reporting Implement and maintain data transformations using Python (PySpark) or Spark SQL Ensure platform scalability as new data sources ...
Kingfisher plc poszukuje Senior Quality Engineer (Data) do zespołu Data Engineering. Rola obejmuje zapewnienie jakości, niezawodności i integralności danych, wspierając decyzje biznesowe poprzez wysokiej jakości dane. Doświadczenie z PySpark, Databricks, dbt, Great Expectations i testami w CI/CD jest kluczowe. Praca w modelu ...
As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines. You will own the end-to-end lifecycle of high-quality data acquisition, annotation ...
... role involves collecting business needs, designing architectures, and ensuring quality deliverables. Key qualifications include technical expertise, fluent English, and knowledge of data integration. The position offers a hybrid working model and various perks including courses, wellbeing programs, and private healthcare.