... 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. ...
... for a Data Scientist or Data Analyst to join an international project focused on Strategic Revenue Management (SRM) solutions. The project focuses on pricing data analysis and the development of tools to support pricing decisions in the retail industry. Responsibilities Analyzing pricing data and supporting Strategic Revenue ...
... 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 ...
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 ...
We are looking for a Senior Program Manager to join our CEE_WE Data Practice and play a pivotal role in shaping how we deliver data and AI solutions across the region. You will sit at the intersection of delivery, strategy, and client engagement — driving program governance, ensuring cross-functional alignment, and accelerating ...
... 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. ...
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 ...
... (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 ...
... 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 ...
... o.o. z siedzibą w Warszawie (01-211), ul. Giełdowa 5, wpisana do rejestru przedsiębiorców Krajowego Rejestru Sądowego pod numerem: 0000749554 (dalej jako "Administrator"). Administrator powołał Inspektora Ochrony Danych. Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia ...
... 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. ...
... 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 ...
... efficiency in Azure and Databricks environments. Collaborate with cross-functional teams (data engineers, data scientists, and cloud architects) to deliver end-to-end data platform solutions. Integrate Databricks with the broader Azure ecosystem, including data lakes, AI/ML frameworks, reporting systems, and data catalogs (e.g., ...
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 ...
... (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 ...
... danych: migracja do architektury opartej o Azure Databricks, - projektowanie, rozwój oraz optymalizacja nowoczesnych pipeline’ów danych z wykorzystaniem Azure Databricks i Python, - implementacja i rozwój rozwiązań na platformie Azure Data Platform (m.in. Data Lake, Databricks), - tworzenie i rozwój API wspierających data ...
... relevant key performance indicators (KPIs), standard reports, and ad-hoc analyses based on our Customer Data Platform. You work in close coordination with our Data Engineering team to design the required analysis datasets. Process Automation: You transform manual queries and data preparation tasks into automated pipelines ...