Senior Data Scientist

About the Position

Join us as Senior Data Scientist

Are you up for a challenge? Then step up to the plate – this role is for you!

As a Senior Data Scientist, you’ll be responsible for the full lifecycle of machine learning models - from exploring a problem and building the first prototype to deploying models to production and continuously monitoring their performance. You’ll work closely with Software Engineers, Product Managers, and Designers to turn complex data into practical, production-ready solutions.

**✅ If your experience and skills match our criteria for the role, apply for this job now.

***Find out more about our recruitment process here.

Location

Kraków, Małopolskie, Poland

Employment Type

FULL_TIME

Hours

CET working hours

Mode

remote/hybrid/office

Recruitment Process

❇️ Intro chat with Basia - let’s sync up and get to know each other!

❇️ Client meeting - an open conversation about your background

❇️ Final alignment - team feedback and next steps

Responsibilities

• Lead the end-to-end development and delivery of machine learning models - from discovery and feature engineering to production, A/B testing, and monitoring.
• Work closely with Product and Engineering teams to turn complex data into solutions supporting payment and payer fraud prevention.
• Research and apply the latest developments in machine learning and fraud prevention.
• Help shape the technical direction and solutions used within the Payment Intelligence team.
• Share knowledge, contribute to code reviews, and help raise engineering and data science best practices across the team.
• Work on models and solutions designed to operate at scale within a production environment.

Requirements

• Degree or PhD in a STEM discipline, or equivalent commercial experience.
• Hands-on experience with advanced architectures, such as deep learning, graph-based, or sequence-based models.
• Experience in FinTech, Fraud Prevention, or Payments is a strong plus.
• Ability to translate complex ML concepts into practical product solutions and explain them to non-technical stakeholders.
• Experience with the full ML lifecycle - from analysis and feature engineering to prototyping, validation, and A/B testing.
• Strong coding skills and a focus on clean, high-quality code.
• Experience sharing knowledge and contributing to technical best practices.

Nice to Have

• Experience in FinTech, payments, or fraud prevention.

We Offer

• Private Healthcare: Stay healthy with professional medical care for you and your family.
• Medicover sport: Keep fit both physically and mentally.
• Life Insurance: Ensure your loved ones are taken care of after unforeseen events.
• Best Equipment: Do your best work with the best equipment. We’ll set you up right.
• Training Budget: Sharpen your skills by attending conferences and workshops. We’ll foot the bill.
• English Lessons: Master English with in-house lessons.
• Remote Work: Work from home entirely or in a hybrid model.
• Flexible hours: Plan your working day how you want it.
• Lunch: Eat together as a team at Thursday lunch.
• Internal initiatives: Be a part of our Knowledge Share & Mentoring, and Webinar sessions.