You process and analyze customer data, identify patterns and correlations, and derive recommendations for logistics and production systems
You support our consulting and simulation team in exciting data science projects — from using BI tools and statistical software to scripting languages
You actively contribute to the further development of the methods, scripts, and applications used by the team
After a thorough onboarding, you will take on your tasks independently and contribute to the successful implementation of our projects with your analyses
Requirements
You are enrolled in a technical degree program, e.g., Industrial Engineering, Computer Science, Mechanical Engineering, or a comparable field
You have an interest in logistics and production-related topics
You are enthusiastic about modern IT systems and digital technologies in factory planning
Ideally, you have experience with an object-oriented programming language (e.g., Java, C#, C++ or similar)
You are proficient with Microsoft Office applications
Technical knowledge — Python & Django: You have experience working with the Django framework, including using the Object-Relational Mapper (ORM), modeling, creating views, and managing database migrations
Web development: You have basic knowledge of HTML, CSS, and JavaScript to integrate and design user interfaces using Django templates
Version control: You are familiar with Git, especially working with branches, creating pull requests, and resolving merge conflicts
Advantageous: You have basic knowledge of Docker for containerizing and running projects in isolated environments
Benefits
Flexible working hours with a balanced mix of client assignments, office work, and remote work
Open, dynamic corporate culture with flat hierarchies, small teams, and appreciative feedback
Structured onboarding into exciting projects at renowned companies within an international environment
Modern offices in attractive city locations in Frankfurt am Main, Berlin, or Munich — with good transport connections, free parking, and beverages
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.
Data Scientist focusing on Generative AI applications and engineering problem - solving at Ford. Collaborating with cross - functional teams to innovate and improve technology solutions in the automotive sector.
AI Engineer/Data Scientist in Ford's Global Data Insights & Analytics team. Developing advanced AI/ML solutions and collaborating on cloud - native data products.
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.
VP, Credit Risk & Data Science overseeing credit risk framework and portfolio management at Purpose Financial. Leading strategy and governance to enable profitable growth and risk mitigation.
Data Scientist joining a leading economic consultancy to implement data science solutions for business challenges and advance thought leadership in advanced analytics.