Data Science Intern

Bertelsmann-Jobs•New York, NY

About The Position

Bertelsmann Education Group is seeking an intellectually curious and driven Data Science Intern for its New York-based Data Lab. The intern will support the digital transformation of education data and help develop data-driven solutions across portfolio companies, including Relias, Alliant University, and Afya. This part-time internship provides hands-on experience building and experimenting with data science and machine learning prototypes, predictive modeling, advanced analytics, and modern AI techniques. Projects explore user outcomes, engagement, and personalization, translating data into actionable insights to improve user success and shape the future of education through data and AI. The intern reports to the Bertelsmann Education Group’s Data Strategy and Growth Manager and collaborates with data scientists, analysts, business stakeholders, and cross-functional teams. The role includes presenting findings to technical and non-technical audiences and participating in knowledge-sharing and training sessions.

Requirements

  • Currently pursuing or recently completed an M.Sc. or Ph.D. in Data Science, Computer Science, AI, Statistics, Engineering, Applied Mathematics, or a related field.
  • Proficiency in Python, including pandas, numpy, and scikit-learn, and SQL.
  • Familiarity with data pipelines, APIs, or integrating data from multiple sources.
  • Hands-on data science and machine learning experience through internships, coursework, or research projects.
  • Experience using GitHub for version control.
  • Strong problem-solving, collaboration, and communication skills.
  • Authorization to work in the United States.

Nice To Haves

  • Familiarity with R.
  • Interest in experimenting with LLMs, simple agent workflows, or AI prototypes.
  • Experience with a BI tool such as Microsoft Power BI or Tableau.
  • Experience in education.

Responsibilities

  • Support development of data science and machine learning prototypes using education data.
  • Work with structured and unstructured datasets to generate insights and support decision-making, including in marketing and academic data.
  • Develop and apply predictive and segmentation models to improve user engagement and outcomes.
  • Contribute to experimentation efforts, such as A/B testing, and translate results into actionable recommendations.
  • Build and iterate on data-driven solutions, including models and basic agent-based workflows.
  • Communicate findings and present insights to technical and non-technical stakeholders.
  • Collaborate with cross-functional teams and participate in knowledge-sharing and training sessions.
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