About the role As Actuarial Data Scientist you will develop and enhance advanced pricing models, blending actuarial techniques with modern data science. You will work closely with the Lead Actuarial Data Scientist, underwriting experts, and ERGO’s Group Data Science community to deliver AI-enabled solutions that improve ...
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 ...
... 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. ...
... direct impact. Job Title: Salesforce Data Architect Location: Cracow, Hybrid (3 days a week from office) Job Description We are looking for a Salesforce Global Data Architect to support the design and evolution of data solutions across Commercial and Marketing platforms. This role will help shape scalable, secure, and effective ...
... https://jobeax.com/link/yEM5pOCyulg58T1R, we don't limit ourselves solely to this solution. We're building the Base Model platform (more info https://jobeax.com/link/ZVAq22MtkkjnJCM5 | Apply science to behavioral data. Automatically.) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another ...
... wykorzystaniem gotowych, jak i własnych konektorów Bardzo dobra znajomość Javy oraz frameworka Spring, w szczególności Spring Boot, Spring Cloud, Spring Security i Spring Data Doświadczenie w projektowaniu schematów dokumentowych, indeksowaniu oraz optymalizacji zapytań w bazach NoSQL, w szczególności MongoDB Doświadczenie w implementacji ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... data engineering and data modelingPalantir Foundry expertise with hands-on development experienceProficiency in PySpark and Python programmingExperience with data connection for APIs and external transformsKnowledge of data quality principles and ontology designProficiency in English at a B2+ level Nice to have Experience ...
... AI community having work experience in insurance industry Skills and experience you will need fluent spoken and written English university degree in Natural Sciences (Applied) Mathematics, Statistics, Computer Science or a related field solid knowledge of relevant programming and modelling languages (e.g. Python (preferred) ...
... danych podstawowych. Nasze wymagania: - Wykształcenie wyższe (preferowane: IT, Metody Ilościowe, Zarządzanie). - Minimum 6-10 lat doświadczenia w obszarze Master Data / Data Governance / Architektury Danych w złożonych organizacjach. - Udokumentowane doświadczenie we wdrażaniu standardów ładu danych (Data Governance Strategy) ...
- Databricks experience - Pyspark - SQL - Batch processing - Streaming - Workflows - Unity Catalog - DevOps/Streaming experience - SQL Server experience as desirable We are looking for a Senior Data Engineer to join the SML Warehouse Management Stable Team in a key replacement assignment. In this role, you will work in ...
... 10+ lat doświadczenia w obszarach Data Engineering, Data Architecture, AI lub Machine Learning. Doświadczenie w projektowaniu i implementacji enterprise-scale Data & ML platforms na Microsoft Azure. Znajomość: Azure Data Factory Azure Databricks Azure Synapse Analytics Azure Data Lake Storage Azure Machine Learning Azure ...
- Senior-level data science experience, typically 5+ years in data science, advanced analytics or a related field - Strong Python skills and practical experience with pandas and core data science libraries - Experience developing regression models, statistical models, segmentations and machine learning solutions - Strong ...
Data Engineer – Google Cloud Platform (GCP) Kraków - hybryda współpraca B2B Poszukujemy doświadczonego Data Engineera, który dołączy do dużego, międzynarodowego projektu technologicznego z sektora finansowego. Projekt koncentruje się na migracji rozwiązań on-premise do Google Cloud Platform oraz budowie nowoczesnej, wydajnej ...
... firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. ...
... deep technical expertise and a focus on business value, we build tailored, scalable, and secure digital products. Harnessing the power of AI, Machine Learning, Data Science, Big Data, and Visual Technologies, we create intelligent, future-ready solutions that support digital transformation and solve real-world business problems. ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
Data Engineer – Google Cloud Platform (GCP) Kraków - hybryda współpraca B2B Poszukujemy doświadczonego Data Engineera, który dołączy do dużego, międzynarodowego projektu technologicznego z sektora finansowego. Projekt koncentruje się na migracji rozwiązań on-premise do Google Cloud Platform oraz budowie nowoczesnej, wydajnej ...
... 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; ...
... firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. ...