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4 data science intern jobs found in Berlin

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Machine Learning Berlin data science intern
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Pipedrive
24/10/2026
Full time
Principal AI/ML Scientist & Engineer
Pipedrive Berlin, Germany
We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We are looking for a Principal AI/ML Scientist & Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic...
H&Z Unternehmensberatung GmbH
07/10/2026
Full time
(Senior) AI/ML Engineer (all genders)
H&Z Unternehmensberatung GmbH Berlin, Germany
Location Berlin Employment Type Full time Location Type On-site Department IT Your role We are looking for an experienced   (Senior) AI/ML Engineer   to join our   Central Data Platform   team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organization. In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one. This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data...
REPLY
03/10/2026
Full time
(JUNIOR) MACHINE LEARNING ENGINEER (M/F/D)
REPLY 10785 Berlin, Germany
BERLIN, MUNICH, HYBRID Tasks Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation. If you're as passionate about programming as we are and want to bring your ideas to life, then join us! As a Machine Learning Engineer, you will support our customers in the   setup, maintenance, and operation   of data-intensive   cloud-based solutions   with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. With your knowledge of   programming languages,   you deliver the right solutions for our customers in the field of machine learning. This also involves using   big data technologies   (e.g., Apache Spark or Hadoop),   databases   , and   batch or real-time data integration   (e.g., Kafka or RabbitMQ). You use   CI/CD and DevOps paradigms   to develop,...
REPLY
28/09/2026
Full time
DATA SCIENTIST / AI ENGINEER (M/F/D)
REPLY 10785 Berlin, Germany
BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases throughout the entire AI lifecycle. Identifying patterns and trends while simultaneously translating technical results into actionable recommendations and presenting the results to the relevant department and management. Close collaboration with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand your professional skills through interdisciplinary collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually customizable)...
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