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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

2Open Positions

Auto-load
  • Intern Data Science (all genders)

    Roland Berger
    Munich, Germany
    Found 2 months ago
  • Site Reliability Engineer – Fintech

    Quant Capital
    Wimbledon, United Kingdom
    Found 2 months ago
  • Site Reliability Engineer Intern

    Criteo
    Paris, France
    Found 3 months ago

Intern Data Science (all genders)

Roland Berger
Found 2 months ago
Location
Munich, Germany
Duration (Months)
5 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Data Science
  • Python
  • machine learning
  • statistics
  • data analysis
  • data pipelines
  • cloud technologies
  • AWS
  • Azure
  • Google Cloud Platform
  • dashboards
  • visualizations
  • Power BI

Soft Skills

  • Strategic mindset
  • entrepreneurial mindset
  • collaborative spirit

Job Description

As Data Science Intern you will be part of our AI & Data team at RB Digital. Combining business insights with the latest quantitative methods, we help our clients across all industries to solve problems in a data-driven way.You will work as a full member of consulting project teams that focus on using data to solve real business problems. Your task is to transform data, perform advanced analytics and develop machine learning models to create innovative solutions for our clients. You’ll play a key role in creating value from data using state-of-the-art scientific methods and modeling techniques. In this role, you will be involved in both the technical side of working with AI & data and the business side of strategy consulting.Join our AI & Data team in Munich, Dusseldorf, Frankfurt, Hamburg, Berlin or Stuttgart for a period of 4-6 months.

Requirements

  • Currently enrolled in a quantitative or highly analytical degree, such as Economics, Mathematics, Data Science, Business Informatics or a related field
  • Practical experience in data analysis, machine learning, or applied statistics
  • Strong Python skills for scientific computing
  • Good understanding of data sources and data structures
  • Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud Platform) is an advantage
  • First experience creating meaningful dashboards and visualizations (e.g., Power BI)
  • Strategic, entrepreneurial mindset and a collaborative spirit
  • Excellent English
  • German is beneficial

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud Platform)
  • German is beneficial
▶Apply Now

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