Topsoe19.03.26
AI SCORE 8.0

Digitalization Student Assistant - Remote Opportunity

$15K–$20K/month

About the Role

We are seeking a Digitalization Student Assistant to join our team at Topsoe, a leader in decarbonization and energy transition. This Digitalization Student Assistant remote position offers an exciting opportunity to work closely with scientists and drive the adoption of a new scientific platform.

What You'll Do

  • Assist in promoting the new Python-based toolbox and AI coding tools across the organization.
  • Work on AI skills, coding, and data analysis utilizing multiple data sources.
  • Collaborate with scientists on lab automation projects.
  • Act as the first line of support when roadblocks arise.
  • Demonstrate the speed and flexibility gained from the new platform to the organization.

Requirements

  • Currently pursuing a master’s degree in Computer Science, Statistics/Modeling, Chemistry, or a related field.
  • Strong interest in Data and Analytics, particularly with Python.
  • Self-driven, solution-oriented, efficient, and structured.
  • A curious mindset with a desire to learn and adapt in a rapidly changing environment.
  • Available to work approximately 15 hours per week, with flexibility during exam periods and increased hours during summer breaks.

Nice to Have

  • Experience with data analysis tools and methodologies.
  • Familiarity with AI and machine learning concepts.
  • Previous experience in a research or analytical role.

What We Offer

  • Flexible working hours to accommodate your studies.
  • Opportunity to work with a skilled and professional team.
  • Engaging work environment focused on innovation and sustainability.
  • Potential for increased hours during summer breaks.
  • Supportive culture that values diversity and inclusion.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.0 of 10

This role offers a unique opportunity for students to engage in meaningful work while studying. Topsoe's focus on sustainability and innovation makes it an attractive place for aspiring data analysts.

Salary Range
Required
0/1
Optional
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Bonus
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