Intern Technology Consultant - Data & AI
Intern supporting customer-facing data and AI deployment projects, including exploratory analysis, solution configuration, KPI development, and validation of AI-generated outputs. Requires current study in a relevant technical or business discipline, SQL or Python experience, and fluency in English and German.
About the job
Responsibilities
- Conduct customer-facing sessions with experienced Deployment Engineers to discuss projects, translate strategic objectives into use cases, and learn best practices.
- Gather and organize data from multiple sources, ensuring accuracy and consistency.
- Help direct AI deployment agents to build data models, process analyses, KPIs, and dashboards by writing clear specifications.
- Conduct exploratory data analysis to identify trends, process inefficiencies, and root causes.
- Assist with solution design blueprints and configure operational solutions on the platform.
- Validate AI-generated outputs for accuracy and business relevance.
- Help develop and maintain KPIs to measure project success and quantify business impact.
- Document solution design decisions and configurations for customer handover.
- Develop foundational specification and context engineering skills and adapt to evolving AI capabilities.
Requirements
- Current student in Technology Management, Business Informatics, Computer Science, Engineering, Economics, or a comparable degree program, with strong academic performance.
- Knowledge of business intelligence, data analytics, and enterprise business processes.
- Programming and database experience; knowledge of SQL, Python, or related languages.
- Basic familiarity with AI-assisted development tools and willingness to learn prompt and context engineering.
- Interest in customer-facing work and strong presentation and communication skills.
- Ability to take initiative, work independently, and think creatively.
- Fluency in English and German; additional languages are a plus.
- Availability for at least five months full-time.
Benefits
- Flexible hybrid work model.
- Learning, mentorship, and professional development programs.
- Paid parental leave, wellness support, mental health counseling, and subsidized Wellhub memberships.
- Paid volunteer time through annual Impact Days.
Skills
Business Intelligence, Data Analytics, SQL, Python, Databases, Artificial Intelligence, Prompt Engineering, Context Engineering, Data Modeling, Process Mining, Kpi Development, Dashboards
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