7 data science intern jobs found in Berlin

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 Energy markets are volatile, complex, and still built on outdated systems.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

Packa   is the leading platform for managing packaging specifications—we help companies reduce packaging costs and efficiently implement sustainability requirements such as PPWR or EPR. Packmatic   is the digital platform for packaging management. We connect companies with a Europe-wide network of packaging suppliers—quickly, transparently, and based on data. Together, we are changing how packaging is developed, procured, and managed - for greater efficiency, sustainability, and impact. Supported by strong investors and an ambitious team, we are growing rapidly - and looking for people who want to shape the future with us. What you can expect at Packa Creative freedom:   You will work directly with the Packa Leadership - early stage - founding team, giving you creative freedom from day one. Ownership:   You will be part of a highly motivated, diverse, and successful team and will have a high degree of freedom and responsibility from the outset....

Data Analyst CRM (m/f/d) DKB AG Location: Headquarters/Berlin indefinite Part-time and full-time positions available from now on Your tasks As a CRM Data Analyst, you work in the field of Business Intelligence at the interface between business, data engineering, and product development. You ensure that CRM-relevant data, target group logics, and campaign use cases are professionally defined, technically feasible, and analytically usable. You translate requirements from the private customer sector into clear, prioritized, and actionable data requirements for CRM, sales, and campaign use cases. You will develop technical rules, segmentation logics, derivation criteria, and data quality requirements for target groups, customer data, and CRM processes. You will analyze internal and external data sources, assess their suitability, and specify requirements for integration into our Cloud Data Platform. You will act as a sparring...

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)...