Internship - Data Scientist & Engineer (English Speaking)
This is a short-term summer mission of around 2–3 months, suitable either as an internship or a temporary work contract depending on your profile and situation. The position as a Data Scientist & Engineer Intern is a summer mission for candidates based in Stockholm. Most of your work will be focused on the data science side of the mission, including machine learning, data matching, data enrichment, and finding smart ways to automate or improve how data sources are connected. You will also collaborate closely with data engineers. There’s no limit to how much you can learn and grow during this mission — it’s all up to your ambition and passion for data science.
- Cleaning, transforming, and validating data to make sure it can be trusted and used effectively
- Working with machine learning approaches to support data matching, classification, enrichment, or automation
- Build or fine-tune a variety of data-science models to tackle real-world business problems
- Working closely with data engineering to deploy models in production and guarantee their sustainability
- A high level of commitment
- An eagerness to learn and become the best at what you do
- Smartness and curiosity about data
- A positive, solution-oriented mindset
- You are probably currently studying, or have recently studied, a relevant field such as data science, computer science, engineering, statistics, mathematics, machine learning, or a similar technical program.
- You should already be comfortable coding, especially in Python, and have some practical experience working with data.
- Machine learning, or data processing is highly relevant for this mission.
- Experience with SQL, GCP, data science frameworks such as pandas, pyplot, scikit-learn, hugging-face… is also a plus.
- The opportunity to become more experienced within data science, NLP, clustering, classification, model selection and evaluation
- The freedom to work on real data infrastructure projects in a team with business impact
- The chance to learn how data science and data engineering work together to connect, structure, and improve data flows
- A workplace where Mondays feel like Fridays
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