3 data professional jobs found in Berlin

Our client develops some of the most innovative AI-powered digital health products in Europe. These include a 360° patient information system, a modern platform for patient-centered, multilingual medical communication and information. The portfolio is complemented by intelligent medical translation systems, local LLM solutions for sensitive clinical operations, and AI-supported clinical workflows that relieve the burden on physicians and nurses in their daily work and significantly improve the quality of care. To strengthen their product team, our client is looking for a Developer (m/f/d) who is passionate about modern software development and interested in health tech, and who will work with them to shape the next generation of intelligent healthcare software – from conception and development to productive implementation in medical facilities. The position is designed as a hybrid role and also includes aspects of DevOps activities. The client estimates the development workload at...

Overview As an AI & Full Stack Engineer (AI Engineering / Automation Engineering / System Architecture / Full-Stack Engineering with a focus on AI), you will work with us to develop an AI-first system that powers our entire organization like an operating system. This system consists of: the  frontend  (AI-assisted, developed with Claude Code) where our PR managers work daily the  management dashboard  with planning, capacities and performance the  customer interface  , which displays results, data and AI-generated reports an  agentic and workflow-based backend  that intelligently connects systems (Supabase, vector databases, API flows, agents, AI models) Your role System Architecture & Ownership Full responsibility for the technical system (frontend & backend) Ownership of the system architecture and further development, including workflows, data structure, interfaces, compliance...

Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are  highly skilled in Python and Jupyter notebooks. Have experience using libraries including...