Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
About the role
- Intern in data science and business intelligence within APL Logistics Global Technology organization. Exposure to real-world supply chain problems and agile team collaboration.
Responsibilities
- Be a part of an agile team that is responsible for managing full application development lifecycle and/or modern cloud technologies (IaaS, Paas, SaaS)
- Develop hands on experience in application development, cloud deployment, product management, cyber security and business intelligence.
- Work closely with product managers and operations teams on implementing new features and optimizing existing ones for supply chain domains.
- Establish good working relationships with internal and external customers
- Participate in building the product strategy and roadmap for logistics and supply chain services such as order management, sustainability, control tower, distribution and fulfillment.
- Support the existing platforms and programs while applying lean/six sigma methods and look for continuous improvement opportunities to improve productivity, reduce cost and deliver business objectives.
Requirements
- Preferred Juniors and Seniors graduating between May 2026 and May 2027 pursuing a Bachelor’s degree
- Preferred Master’s students in the relevant field graduating between May 2026 and May 2027
- Computer Science, Engineering, Business, Economy, Supply Chain Management and other related majors
- Basic knowledge of database structure, data retrieval/manipulation, and analysis technology stack and language such as SQL, Python and BI tools such as Tableau and PowerBI
- Basic knowledge of modern architecture frameworks and technologies (SOA, API, RESTful, Microservice and etc.) is a plus
- Some experience in data analytical roles with excellent customer facing communication and technical writing skills
- Basic knowledge of creating and maintaining technical and functional specs, solution design, and wireframes
- Working knowledge of application development process as well as a competency in issues management and corporate positioning for internal and external audiences a plus.
Benefits
- one (1) hour of paid sick time for every thirty (30) hrs worked, and up to a maximum of forty-eight (48) hrs each calendar yr.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.
Senior Data Scientist leveraging advanced analytical techniques to support Walmart's strategic objectives. Collaborating across functions, mentoring team members, and ensuring data governance standards.
Principal Data Scientist formulating strategies for AI/ML deployment in production at Walmart Global Tech. Leading projects involving state - of - the - art LLMs and collaborating with cross - functional teams.
Senior Clinical Data Manager providing project support and oversight for clinical data management at AstraZeneca. Ensuring data quality and regulatory compliance in clinical studies.