... problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction). - Explore and clean data; perform EDA to understand data and flag data quality issues. - Engineer features for tabular and time-series data. - Train, validate, and tune standard ML models ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
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 ...
- 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 ...
... 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 want a Senior Full-stack Developer to build reliable Python/FastAPI APIs and React/TypeScript experiences. You will work with PostgreSQL, OpenSearch, and Databricks, focusing on integrations and performance. Apply now. Responsibilities Deliver and maintain web applications built with Python/FastAPI and SQLPlan and design ...
... 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 ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...
... 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. ...
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 ...
... looking for a Data Analyst to join our brave and brilliant Business Development Team. What will you do on a daily basis? Work with Synerise's ever-evolving data platform, enhanced by AI. Turn complex data into clear insights through advanced analyses, reports, and dashboards. Translate data findings into practical conclusions ...
... 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 ...
... 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 ...
For Digital Hub Warsaw, we are looking for: Senior Data Scientist Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with ...
... (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 ...
... 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. ...
... 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) ...
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 ...
... 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 ...