Tech jobs
Job listings
Senior Data Scientist / AI Engineer
Senior Data Scientist at Penguin Random House Grupo Editorial in Barcelona, taking ML, NLP and generative-AI projects from experimentation to production. Builds Python services, APIs and pipelines using LLMs, RAG, agents and cloud data platforms, with a hybrid 50% remote model.
Data Scientist (m/w/d)
Data Scientist at BEIT GmbH, the central IT service provider of the MERKUR GROUP (Gauselmann), based in Espelkamp. Analyzes large datasets, develops and optimizes ML/statistical models, and visualizes insights for business stakeholders using Python, SQL, SAP HANA and a Databricks (Azure) data platform.
Data Scientist (m/w/d)
Data Scientist at BEIT GmbH, the central IT provider of the MERKUR GROUP in Espelkamp: analyzing large datasets, building and optimizing machine-learning and statistical models, and visualizing insights for business and management, working across SAP HANA, data warehouses and a Databricks (Azure) platform using Python and SQL.
Senior - Data Scientist - Optymalizacja (m/k)
PSE Innowacje jest spółką powstałą w 2012 na zlecenie operatora systemu przesyłowego - PSE S.A. Od 2012 roku realizujemy takie zadania jak: prowadzenie analiz i badań, w tym analiz techniczno-ekonomicznych, prowadzenie…
Data Scientist
AI Engineer/Data Scientist at Vega, a cybersecurity startup building an AI-native SOC platform. Day to day you design, build and deploy LLM-based AI systems, work with large-scale unstructured security data (logs, alerts, threat intel), and own the ML lifecycle from research to production using Python and AWS.
Senior Consultant Data Science & AI Healthcare (m/w/d)
Du berätst unsere Kunden strategisch und fachlich zum Einsatz von KI und Data Science und begleitest die Umsetzung konkreter Projekte Dabei steuerst du KI- und Data-Science-Projekte von der Anforderungsanalyse und…
Senior Data Scientist & ML Engineer - Databricks
Bluetab is hiring a Senior Data Scientist / ML Engineer in Mexico City to turn business needs into analytical solutions on Databricks, owning the lifecycle from data ingestion to model deployment. Daily work centers on PySpark, SQL, and MLflow for training, monitoring, and delivery, plus building dashboards and communicating findings to stakeholders.
Data Scientist
Data Scientist joining F2Informatica's AI Competence Center to serve a banking-sector client: data engineering/preparation, building and validating supervised/unsupervised ML models, Generative AI use cases with LLMs, RAG and multi-agent systems, plus deployment, monitoring and API integration. Hybrid work in Torino or Biella.
Data Scientist / Machine Learning Engineer (80–100 %)
Data Scientist / ML Engineer at an energy-software firm (80–100%): build, modernize, and deploy electricity and gas load forecasting and machine-learning models in Python, containerize them for production, and analyze real energy market and meter data. Core stack: Python, Docker, VS Code, time-series/statistical methods.
Applied ML Engineer/Data Scientist
Build predictive ML models end to end on regulated Swiss employee-insurance data: pricing/risk, portfolio monitoring, claims triage, return-to-work, absence and fraud — owning feature engineering, backtesting, explainability and production MLOps. Stack: Python (pandas, scikit-learn), SQL, SHAP, cloud MLOps; explicitly not an LLM role.
DNA-Encoded Library Data Scientist & Engineer
Scientific data scientist/engineer on Roche's DNA-Encoded Library Technology (DELT) team within Pharma Research and Early Development in Basel, combining chemical biology, cheminformatics and data science to turn screening data into insights and build automated workflows for small-molecule hit identification.
Senior Engineering Manager, Data Science
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Data Scientist - Aalter
Data scientist at Actemium in Aalter, Belgium, translating production problems into data projects for industrial clients: preparing and analyzing data, applying statistical models and machine learning, and building dashboards and visualizations, as part of an Industry 5.0 / operational excellence team.