Junior Data Scientist - e-Xperience Associate
Warsaw, Poland
Job Description
Embark on a dynamic journey with Allegro e-Xperience 2025, spanning from 1st of July 2025 to 31st of December 2025. Upon successful completion, we aim to extend a permanent contract, fostering your professional growth and development.
Details regarding our recruitment process and timeline you can find here.
Are you ready to kickstart your career? Apply now and seize the chance to shape the future of e-commerce! For this position, we are looking for 1 person.
What does this role involve?
- You will be part of the team preparing ML models for Credit Risk in the biggest e-commerce Fintech in Poland
- You will define business goals in cooperation with a team of credit risk experts and translate them into machine learning problems
- You will analyse and process big data sets
- You will train models with high business impact and monitor their operation in production
We are looking for people who:
- Are familiar with Python and its DS and ML-related packages (numpy, pandas, sklearn, scipy)
- Have an advanced knowledge of SQL
- Understand statistical and machine learning methods, especially algorithms based on decision trees and neural networks
- Are eager to continuously develop their skills and expand their knowledge
- Know English at B2+ level
What we offer:
- The opportunity to learn, work on exciting challenges, collaborate with amazing people and have an unforgettable adventure
- The opportunity to learn from incredibly smart and talented people, gaining valuable insights and experiences along the way
- Mentorship and support from your buddy throughout your entire program
- Additionally, you will be part of a supportive, inclusive culture that fosters personal growth, career development, and the building of meaningful connections with colleagues
- A hybrid work model. At Allegro we value working and tackling challenges together, that is why we decided that the best approach is to have the internship take place on-site among us. A hybrid work model incorporates solutions that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
- A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
- The necessary tools for work
- Hackathons/Open days, workshops, guilds, meetups and internal knowledge sharing
- MindUp (including training courses on work organization, means of communication, motivation to work and various technologies and subject-matter issues)
Why is it worth working with us?
- Support of experienced Data Scientists and Engineers - there is always someone to exchange ideas with because we have the best specialists and experts in their field on board
- Big Data – several petabytes of data and Machine Learning used in production
- Over 100 original open source projects and a few thousand stars on github
- We organize Allegro Tech events and we make guest appearances at the invitation of such communities as Warsaw AI, Java User Groups, WG .Net, SysOps/DevOps Polska, Product Cafe, Horyzont Danych and many others
- We focus on development as well. We organize hackathons and internal conferences (e.g. the annual Allegro Tech Meeting), our employees regularly participate in events both in Poland and abroad (Europe and USA), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we will always support you
Do you want to get to know us better? Listen to: Allegro Tech Podcast
Interested? Just click the apply button :) Send in your CV, join the e-Xperience and see why it is #goodtobehere
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Credit risk DevOps E-commerce FinTech GitHub Java Machine Learning ML models NumPy Open Source Pandas Python Scikit-learn SciPy SQL Statistics
Perks/benefits: Career development Conferences Lunch / meals Team events
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