7 working student data science jobs found in Berlin

Working student (m/f/d) in Controlling with a focus on Data Science Do you enjoy daily challenges and prefer working independently? Then we should get to know each other at one of our locations in   Kirchheim near Munich   or   Berlin   ! You'll start in controlling shortly after the introduction of our new ERP system (Microsoft Business Central) and gain valuable practical experience in an exciting digitalization project. What needs to be done? You actively support the specialist departments in defining and creating reports in Power BI. Furthermore, you will help us with the design and implementation of RPA bots (Power Automate) to automate repetitive tasks. Your involvement in the implementation of AI-supported tools brings exciting variety to your daily work routine. You will assist with ad-hoc requests and general administrative tasks. This is what you bring with you You are studying business informatics, statistics or...

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 Energy markets are volatile, complex, and still built on outdated systems.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...

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...

BERLIN Tasks As a Data Scientist (m/f/d), you will develop   data-driven solutions for a wide range of business challenges   and support our clients in deriving informed decisions from complex data. You will combine statistical modeling, machine learning, and modern AI approaches to develop innovative solutions from data analysis to production implementation. Development and implementation of data science solutions   for various business issues, e.g., sales prediction, media mix optimization, impact analyses, geo-analyses, or NLP-based applications for sentiment analysis. Analysis and processing of complex data sets   from structured, unstructured and geographic data sources to identify relevant customer and business insights. Development, optimization and implementation of statistical models   , machine learning methods and AI-based solutions for various use cases Creation of reports, dashboards   and data-based decision-making tools, as...

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)...