-
View all jobs
THE ROLE & THE TEAM
As Junior Applied Scientist for Zalando Payments, you will build, evaluate, verify, and deploy machine learning algorithms that allow our customers to pay in a secure and seamless way. Fashion retail imposes many interesting challenges on the payment experience that we address through tailored deferred payment options and other products. The predictive algorithms you will build in this role assess the payment risk associated with orders, and you’ll work closely with software engineers to put those algorithms into production. You will make sure the product complies with the demanding and high standards of the fintech industry.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy https //jobs.zalando.com/en/our-culture/diversity-and-inclusion
As Junior Applied Scientist for Zalando Payments, you will build, evaluate, verify, and deploy machine learning algorithms that allow our customers to pay in a secure and seamless way. Fashion retail imposes many interesting challenges on the payment experience that we address through tailored deferred payment options and other products. The predictive algorithms you will build in this role assess the payment risk associated with orders, and you’ll work closely with software engineers to put those algorithms into production. You will make sure the product complies with the demanding and high standards of the fintech industry.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
- Research and develop machine learning solutions to solve business problems such as payment risk assessment and forecasting of various KPIs.
- Make sense of the messy patterns within data. You thrive on using analytics approaches to understand the problem you’re working on, and being a data detective.
- Collaborate with engineers to put machine learning algorithms into production.
- Learn and develop, and share your knowledge with your colleagues. We are excited to teach you new technologies and approaches, and to learn from you.
- You have a degree in mathematics, physics, statistics, machine learning, data science or another relevant field.
- You have a solid foundation of knowledge in mathematics and statistical methods. You can easily explain the importance of a p-value, and what are its pitfalls.
- You have experience and good understanding of basic machine learning algorithms. You have an interest in learning how to improve/perfect and generally build more performant machine learning products.
- We are working in a big and complex environment and with many stakeholders. We expect you to be able to translate business needs into machine learning concepts. Great communication skills are needed to help non-technical colleagues understand applied science concepts.
- You bring excellent problem-solving skills, with a logical and pragmatic attitude.
- Ideally, you are familiar with the Python's best practices. You also know how to make sense of data using SQL and relevant Python packages (pandas, spark).
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
- Employee shares program
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
- 2 paid volunteering days a year
- Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
- Work from abroad for up to 30 working days a year
- 27 days of vacation a year to start for full-time employees
- Relocation assistance available (subject to prior agreement)
- Family services, including counseling and support
- Health and wellbeing options (including Wellhub, formerly Gympass)
- Mental health support and coaching available
- Drive your development through our training platform and biannual peer-to-peer review
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy https //jobs.zalando.com/en/our-culture/diversity-and-inclusion
Key Skills
Ranked by relevance
machine learning
python
pandas
spark
sql
pan
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Product Analyst (all genders)
2026-04-03
Full-time
Mid-Senior
Germany
Technology
Research
View Job Details
Related
Backend Engineer (Data Science / ML) - HYBRID
2026-03-10
Full-time
Mid-Senior
Finland
Technology
Engineering
View Job Details
Related
Senior Product Designer - ZEOS Design and Research (all genders)
2026-03-23
Full-time
Mid-Senior
Sweden
Technology
Design
Login to Apply
- Posted
- Aug 21, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Berlin
- Company
- Zalando
Industries
Technology
Information
Internet
Retail
IT Services
IT Consulting
Categories
Research
Analyst
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Product Analyst (all genders)
2026-04-03
Full-time
Mid-Senior
Germany
Technology
Research
View Job Details
Related
Backend Engineer (Data Science / ML) - HYBRID
2026-03-10
Full-time
Mid-Senior
Finland
Technology
Engineering
View Job Details
Related
Senior Product Designer - ZEOS Design and Research (all genders)
2026-03-23
Full-time
Mid-Senior
Sweden
Technology
Design