Internship - Data Scientist & Engineer (English Speaking)
01 JUN 2026
Internship - Data Scientist & Engineer (English Speaking) Apply for this job Hey there! Are you our next Leadstar? Take the chance of a lifetime and join a market-leading, fast-paced team in the sports betting affiliate industry!
We offer you:
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
What we want in return:
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
Who are we looking for?
We are looking for a Data Scientist & Engineer Intern who will help us connect different data sources and use machine learning to make our data flows smarter and more efficient.
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.
You are someone who wants to dive deep into data, understand how different data sources can be connected, and discover patterns and statistical correlations that make data easier to use across the company.
You don’t need to be a senior developer or data scientist, but we are looking for someone who already has a solid technical foundation and can contribute from the start at an intern level.
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.
Job description
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.
This includes:
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
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.
About Leadstar Media
Leadstar Media is a fast growing Swedish scale-up company that operates several websites within the sports betting industry. Today the company consists of over 70 employees and full-time consultants as well as several part-time freelancers. We are an international company with around 30 different nationalities represented and a presence in over 30 different geographical markets.
Leadstar Media’s ambition is to create exceptional products for our visitors and to become the no. 1 sports betting affiliate in the world. We believe that the best way to achieve this is by having a tight-knit team of creators with a high level of autonomy.
At Leadstar Media you will work together with entrepreneurial individuals who are eager to learn everything about their particular field. We want you to have the same winner mindset as the rest of the team!
More info
Start: as soon as possible
Contract: 2–3 month internship or temporary work contract
Location: Stockholm, Sweden, in-office
We look forward to receiving your application!
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Department
Data
Locations
Stockholm