Job Description

Are you passionate to make a real impact using your data analytical skillsets?

At Arboretica, we are a young start-up company that uses machine learning and data science to empower environmental organizations to make faster, impactful decisions by uncovering meaningful insights from the world’s public data. We believe that our work helps our clients change the world. Arboretica is trusted by the world’s leading environmental NGOs (WWF, UN, etc.) and research labs to supercharge their research by deriving connections and insights from otherwise unconnected public data, across languages and formats. We believe that our work helps our clients change the world. Arboretica is trusted by the world’s leading organizations to supercharge their research by deriving connections and insights from otherwise unconnected public data, across languages and formats.

As our team is growing, we are looking for a curious and enthusiastic Data Scientist intern who shares our passion for using data and analytics to drive real change. The right candidate will be independent and self-motivated and comfortable in a fast-moving organization. This position will be based in our Rotterdam office located at the Erasmus University campus, with a hybrid working style possible.

As an intern at Arboretica, you will work directly with our CEO and CTO, as well as our product and development teams on delivering scalable and impactful data products. You will be a part of a small, multidisciplinary, and agile team and get the chance to build your career with people who want to solve problems, develop their expertise, and have fun together.

This is either a part-time (15-20 hours per week) or full-time internship position (40 hours per week).

Responsibilities

  • Learn and apply Arboretica’s proprietary algorithms to different business and social problems
  • Perform statistical analysis on a wide variety of complex data sets
  • Develop prototypes and dashboards for various data applications
  • Interpret and analyze the results of various algorithms
  • Evaluate the accuracy of various algorithms
  • Conduct routine and ad-hoc research to support algorithm and product development 

Education and Experience

Minimum Qualifications:

  • A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Operations Research, Business Analytics, or equivalent training
  • Proficiency in Python and the Jupyter Lab ecosystem for Data Science
  • Proficiency in Natural Language Process, preferably with working knowledge in Large Language Model (LLM)
  • Experience in developing web applications using Streamlit or similar tools
  • Experience querying and manipulating complex raw datasets for analysis using Python
  • Knowledge and interest in interpreting social media and news data
  • Experience with statistical analysis using Excel

 

Other Qualifications:

  • Ability to explain technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses
  • Proficiency in using Microsoft Office (Word, PowerPoint, Excel)
  • Proactive attitude in fast working environments
  • Internationally-minded
  • Ability to quickly adapt to a complex, dynamic environment
  • A team player with the ability to work independently
  • Excellent written and oral communication skills in English
  • Speaking Dutch or another language is a plus 

Our Offer:

Arboretica is an equal-opportunity employer and offers a flexible working environment. We offer great employee opportunities. While completing your internship, you will receive the same benefits as our employees including:

  • Hybrid working style with flexibility in locations
  • Unlimited holiday
  • Free coffee and snack
  • Stipend on transportation
  • High value placed on taking initiative and ownership
  • Open, communicative work environment
  • Flat organizational structure
  • Regular team outings and dinners
  • Active training opportunities in place, many of which are guided on-the-job training

To Apply:

To apply, please send your CV and a letter of motivation (both in PDF format ideally) to career@arboretica.com