Internship, Data Science (Analytics), 2025
Helsinki, Finland
Applications have closed
Wolt
When people try Wolt, they love it! The joy of food, groceries and more from local stores and restaurants, delivered in 30 minutes. Try the most-loved delivery app now.About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now weâre building the delivery of (almost) everything and youâll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isnât always easy, but itâs definitely exciting. Here youâll learn more, build more, and ship more than in most other companies. Youâll be challenged a lot, but also have a lot of fun on the way. So, if youâre a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About Data Science (Analytics) at Wolt
Wolt analytics is a business-critical team driving decisions through data science and business intelligence. Weâre a dynamic group of 180+ professionals across Finland, Sweden, Germany, and Estonia, all passionate about turning Woltâs data into valuable insights.
While Wolt analytics' primary focus isnât on developing ML models for production, we frequently work with them in the context of experimentation. Additionally, we utilize predictive modelling for impact assessments, foundational analyses, and annual/quarterly planning.
About the program
Weâre looking for three Data Science (Analytics) interns to join our team in Helsinki đ
- The internship is paid - 3300 âŹ/month
- The program will last for 6 months
- The start date of the program is set for June 2025
During this internship, youâll use your analytical skills to extract actionable insights that support key business decisions. Youâll work hands-on with experimentation and quasi-experimental methods, contributing to impactful business decisions at Wolt!
Youâll have a dedicated, experienced mentor who will coach you during these 6 months.
About the domains
Data Scientists at Wolt generally work as embedded in a team on one particular domain at a time. This means we are working as close as possible where the decisions are made, and hence get to participate in decision-making themselves.Â
In this role you would get to collaborate closely with one of our embedded analytics teams in Consumer, Merchant, or Courier & Logistics domains.
As a Data Science intern at Wolt, youâll get toâŚ
- Step up to the challenge of working on real-world data analytics projects, contributing to the insights that drive decision-making across the business.
- Learn from experienced data scientists and work closely with product, engineering, and operations teams to better understand Woltâs marketplace dynamics.
- Be the driving force behind actionable insights, helping our teams predict long-term trends and optimize strategies.
- Contribute to product development by sharing recommendations based on statistical techniques in Python, R, or similar, that directly impact business decisions.
- Collaborate with cross-functional teams to solve complex problems, leverage exploratory data analysis, and assist in building predictive models.
- Gain hands-on experience in data wrangling, creating intuitive data visualizations, and learning industry-leading practices for experimentation and causal inference.
Our humble expectations
- Experience in writing structured, efficient SQL queries for large datasets
- Knowledge of any statistical software (Python, Matlab, R, or equivalent)
- Analytical and curious self-starter who thrives in a collaborative environment and is motivated to achieve resultsÂ
- Located in Helsinki (or nearby)
- Have the right to work in Finland
- Can continue with us full-time after the internship
As mentioned above, we are unfortunately unable to offer relocation or visa support for internships, so you should be eligible for work in Finland for the duration of the program. If youâre offered to stay with us permanently after the internship, weâll take care of your work visa if thatâs needed.
We want to welcome people from diverse backgrounds, with an open mindset and curiosity. We hope you are not scared to ask questions, dive deep in data, and come up with recommendations đ
Sounds good? Hereâs how to apply
To apply for the internship, you don't need to have extensive working experience â you can prove your skills by completing the assignment we have prepared for you!
đ The process is easy:
1 - Open the assignment. Read through the instructions carefully and complete the task. While we all appreciate the wonders of ChatGPT and the like, weâre excited to see your own skills in action for this assignment.Â
2 - When youâre ready, put your solution (as a zip) into Google Drive, Dropbox, OneDrive (or similar). Remember to check permissions! If we cannot access the file, we cannot review your submission. Please donât store your solution in a public GitHub repository.
3 - Click âApply nowâ, fill in the form, answer a couple of our questions, and attach your link to the assignment. If you have a CV, want to tell us more about yourself and your interests in a cover letter, or have some interesting projects that youâd like to share with us, feel free to include those as well.
3 - Send your application.
Please note that the assignment is a mandatory part of the process. Applications without attached solutions wonât be accepted.
The deadline for the application is 13.04.2025, 23:59 EEST. Weâll review the assignments and invite successful candidates for interviews within ~1 week.
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Our Commitment to Diversity and Inclusion
Weâre committed to growing and empowering a more inclusive community within our company, industry, and cities. Thatâs why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Tags: Business Intelligence Causal inference ChatGPT Data analysis Data Analytics EDA Engineering Excel GitHub GPT Machine Learning Matlab ML models Python R SQL Statistics
Perks/benefits: Career development Relocation support Startup environment
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