35 working student data science jobs found

We're looking for a driven and tech-savvy   Working Student (Werkstudent)   to join our AI team. You’ll support the development and maintenance of generative AI models, help build intelligent agent scripts, work on computer vision tasks, and get your hands dirty with data scraping and analysis. If you're excited about large language models, multimodal AI, and computer vision—and want hands-on experience working with real-world applications—this role is for you! Key Responsibilities: Test AI models and agents from a user perspective to evaluate performance, edge cases, and output quality Write and iterate on agent prompts, scripts, and logic Support computer vision workflows: data collection, preprocessing, model evaluation Clean, analyze, and visualize datasets to uncover insights or improve models and define the data quality requirements Collaborate with researchers and engineers on experimentation and documentation You...

What we do Join the stealth AI energy venture redefining how businesses buy and manage electricity. Energy markets are volatile, complex, and still built on outdated systems. Mid-sized companies pay the price — overpaying for electricity while lacking access to the sophisticated tools large corporates use to manage risk. We are a stealth AI energy venture, backed by Merantix, Europe's leading AI venture studio. Our mission: build the first AI-native energy supplier that helps businesses buy, manage, and optimize their energy — autonomously. We're combining deep energy market know-how with cutting-edge AI to bring transparency, automation, and intelligence to one of Europe's largest and most under-innovated markets. If you want to learn how to scale a B2B venture from 0 to 1, this role is your front-row seat. Your role As a Growth & Sales Intern, you'll work directly with the CEO to identify opportunities, build scalable outreach processes, and convert...

We're looking for a driven and tech-savvy   Working Student   to join our AI team. You'll support the development and maintenance of generative AI models, help build intelligent agent scripts, work on computer vision tasks, and get your hands dirty with data scraping and analysis. If you're excited about large language models, multimodal AI, and computer vision—and want hands-on experience working with real-world applications—this role is for you! Key Responsibilities: Test AI models and agents from a user perspective to evaluate performance, edge cases, and output quality Write and iterate on agent prompts, scripts, and logic Support computer vision workflows: data collection, preprocessing, model evaluation Clean, analyze, and visualize datasets to uncover insights or improve models and define the data quality requirements Collaborate with researchers and engineers on experimentation and documentation You present the...

DORTMUND, BERLIN, MUNICH Tasks As part of our innovative and international team, you will take   responsibility   for the   realization of innovative AI and GenAI applications   in a wide variety of industries. This includes the   independent design   ,   development   , and   integration   of GenAI-powered, cloud-native applications using   Amazon Web Services, microservices   based on   serverless applications with AWS   Lambda   and   Amazon API Gateway, container technologies   (e.g., Docker, Kubernetes, EKS, Fargate), and DevOps principles / Infrastructure as Code (AWS CDK, Terraform, CloudFormation), with which you will transition projects into smooth operation. You   will design   and   implement RAG architectures   with vector databases (e.g., Amazon OpenSearch Service, Aurora PostgreSQL with pgvector), develop   agent   -   based systems   and   agent   orchestrations   with   Amazon Bedrock   and modern   agent...

DÜSSELDORF Tasks Together with team members, you will develop the architecture and implementation of modern   AI and data-driven platforms   in the cloud – with the goal of providing scalable platforms and AI solutions. You will support our team in the   development and optimization of AI agents   – from testing and fine-tuning to   prototyping AI applications. You actively contribute to   building our knowledge about AI agents   : researching current tools and methods. You   follow current trends and technological developments   (e.g., memory architectures, LLM integration, prompt engineering) and contribute your findings to further development.   Experiment with new models and the use of innovative technologies. You automate infrastructure provisioning with tools like Terraform and create the foundation for   reliable DevOps and CI/CD of AI workloads. You will help   monitor the performance of   AI systems and distributed data...

MUNICH Tasks Have you already gained initial practical experience in cloud, DevOps, or software engineering and are you looking to further develop your skills in modern cloud and platform environments? Are you driven by automation, well-designed technical solutions, and a desire to continuously learn new things? Are you also enthusiastic about using AI tools to increase engineering productivity and operational quality? At   Riverland Reply,   you can expand your skills in real enterprise projects. The following tasks await you: Joint   implementation and further development   of cloud and platform solutions   (AWS, Azure)   in collaboration with experienced cloud and platform engineers – always according to   DevOps and DevSecOps principles. Building and operating   automated infrastructures   using   Infrastructure-as-Code   and modern   CI/CD pipelines,   including the use of AI-supported tools for code quality, testing and automation in...

FRANKFURT, HAMBURG, DÜSSELDORF, MUNICH, HYBRID Tasks About our platform Huacaya:   Huacaya is our on-premises platform for AI development and deployment. It enables the secure and efficient hosting, training, and integration of AI models into applications such as chat or process automation. The platform covers the entire AI lifecycle and provides companies with a robust foundation for developing tailored solutions for specific requirements. As part of our team, you will make a significant contribution to the further development of Huacaya and shape innovative AI-based applications within the framework of projects. You will work directly at the interface with customers and actively drive the further development of Huacaya, our   platform for AI development and deployment   , with the goal of quickly bringing solutions into productive use. Your work focuses on   training, fine-tuning, and providing large language models   (LLMs) in a...

MUNICH Tasks You will support our clients in   AI transformation projects   throughout the entire   end-to-end lifecycle   – from identifying potentials and use cases to the successful implementation of productive AI solutions. In this role, you act as   an interface   between the business and IT departments, analyzing and specifying requirements and translating them into   sustainable business and technical concepts   . You develop   exploration, technical and target concept concepts   , evaluate   AI use cases   and coordinate solution approaches with relevant stakeholders. You are responsible for the   professional and technical pre-qualification   of requirements, accompany the   integration of AI services   , support   testing and quality assurance   , and manage the successful   rollout   . You support clients in   AI adoption   ,   process automation   , and building data-driven ways of working to create sustainable added...

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...

Overview Junior Full-time Permanent position About this job CHECK24 is   the   comparison portal: market leader and dynamic start-up in one. In agile teams, we make quick decisions and operate with flat hierarchies. With   state-of-the-art tools, technologies, and cutting-edge AI methods,   we drive data-driven innovation – always with the goal of creating real added value for our customers. Across more than 50 products, we work daily to further improve the user experience for our more than 20 million customers. Our   Search Team   within the CHECK24 AI Forge develops scalable AI solutions for search and ranking across various CHECK24 products. Search is a central entry and navigation point for our customers and covers demanding domains – from e-commerce product search and web-like navigation to travel search for hotels, destinations, and other products. Search and ranking are among the most demanding disciplines in applied machine learning. A...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

Big tasks Development, implementation and optimization of machine learning models at the proof-of-concept level Scaling of machine learning models for use in production systems, taking into account performance, scalability and security. Design, testing and management of data pipelines for training and production systems Data acquisition, quality assurance, and feature engineering Close and independent collaboration with data scientists, software developers and other teams to integrate models into existing workflows Research, evaluation and selection of suitable machine learning algorithms and technologies, based on current research findings Target-group-oriented documentation and presentation of the developed models and their results Ideal conditions Studies in Computer Science, Computer Engineering, Mathematics, Statistics, Engineering or a comparable field of study Relevant experience in the development and implementation of machine learning...

Motivation of the work Turning today’s research into tomorrow’s applications – together. With a clear focus on user and customer needs, Corporate Research and Technology at ZEISS focuses on developing and advancing future technologies for all business units within the ZEISS Group. Your Role For our team of researchers and engineers, we are looking for a student to support our concept work on AI-driven solutions for future medical applications in neuroscience and healthcare. Development and integration of state-of-the-art machine learning algorithms for future ophthalmic and other medical devices Gain hands-on experience with multiple neural signal modalities Analyze, research, test, and implement core functions for multimodal data from the fields of neuroscience and healthcare Search for solutions in scientific literature and patent documents, and tailor these solutions to our needs Conduct and evaluate experiments on large scale...

Area of ​​activity: Research & Development incl. Design Department: Basic Functions & System Engineering Company: Mercedes-Benz AG Location: Mercedes-Benz plant Sindelfingen, Sindelfingen Start date: November 1, 2026 Publication date: September 14, 2026 Job number: MER00048BV Working hours: Part-time Tasks At Mercedes-Benz Cars Development (RD), we shape the automotive generations of the future. This means innovative products of the highest quality and efficient development processes. Within the development of control units for braking systems, we are continuously evolving through the use of artificial intelligence (AI). To support our team, we are looking for a working student who uses modern AI technologies to analyze, automate and sustainably optimize development processes. These are some of the challenges you will face: Analysis of existing development processes in the field...

Area of ​​expertise: IT/Telecommunications Company: Mercedes-Benz Tech Innovation GmbH Location: Mercedes-Benz Tech Innovation GmbH, Ulm +1 Start date: October 1, 2027 Publication date: September 21, 2026 Job number: J000230417 Tasks What tasks await you? Start your career as a dual student (m/f/d/x) and lay the foundation for your professional future! At Mercedes-Benz Tech Innovation you will find the best conditions: Help us shape the mobility of the future and become part of a team of IT experts (m/f/d/x) who are making a big difference together. Look forward to a varied training system with alternating 3-month phases of practical and theoretical learning. In this degree program, you will learn how Artificial Intelligence (AI) is driving digital transformation, and during the practical phases you will work on exciting projects on topics such as Machine Learning, Generative AI (GenAI) or Cloud...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks AI systems are only as intelligent as the data and relationships they can understand.   As a Junior Graph AI Engineer (m/f/d), you'll work on the next generation of intelligent applications: You'll combine   knowledge graphs, machine learning, and large language models   to not only search company data but also make relationships visible and usable. Support in the   development   of   graph-based AI solutions   and modern applications around GraphRAG and LLMs Contributing to the   development   and   enhancement   of   knowledge graphs   and   data models. Development and optimization   of technical components   and   data pipelines with Python Conducting   initial analyses   and   experiments   in the field of machine learning and graph technologies Support in preparing   workshops   ,   demos   and   presentations   for internal teams and customers. Collaboration...

BERLIN, MUNICH, HYBRID Tasks As a Junior GenAI Engineer (m/f/d), you will support the development and implementation of generative AI models, (multi-)agent-based LLM applications, and AI-powered solutions for customer-specific requirements. You will work closely with experienced colleagues and learn to apply modern GenAI technologies in real-world projects. You will contribute to the   development and maintenance of AI pipelines, APIs, and interactive applications   , and gain practical experience with technologies such as Large Language Models, multimodal models, knowledge graphs, and AI-powered products. Together with the team,   you   will analyze   business applications   for generative AI and   support   the   implementation of technical solutions. You work with   various technology stacks   , such as Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks and cloud infrastructure, and continuously develop your...

Location Am Campus 1 74177 Bad Friedrichshall Department / Area Student trainee / Internship / Thesis Entry level Internship/Working Student Position working model Part-time Reference number 4357 Schwarz Digits creates the technological foundation for digital decision-making freedom in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Produktion and PreZero. At the same time, we operate as an independent provider in the external market, supporting companies throughout Europe in their digital transformation. We combine our core services in the areas of cloud computing, cybersecurity, data & AI, communication, and workspace. Contribute to digital decision-making freedom in Europe. With...

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated:...