Senior Data Scientist, Payments Intelligence

VINTED
City of London
3 months ago
Applications closed

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About Vinted

Vinted’s mission is to make second‑hand clothing the first choice. Every day we help our members buy and sell pre‑loved items, giving each piece a second – or even a third – life. The Vinted Group is made up of three business units: Marketplace, Go and Pay.


Vinted Marketplace is Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items, connecting millions of members across more than 20 markets. Vinted Go enhances the shipping experience with a network of over 500,000 pick‑up and drop‑off points and additional services such as item verification. Vinted Pay is our newest payment service provider, dedicated to secure, reliable payments for buyers and sellers across Europe.


Founded in 2008 in Lithuania, Vinted grew to become Lithuania’s first unicorn in 2019 and now has over 2,000 employees across Europe. Our headquarters remain in Vilnius and our backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints and TPG.


Information about the position

As a Data Scientist in the Payments Intelligence team, you will use data science and engineering tools to solve various payment‑related challenges. The team spans Vilnius and Berlin and collaborates with engineers, product managers and data colleagues across the company.


The Payments Intelligence team works closely with the product and engineering teams in the Payments business unit – which covers Marketplace Payments and the new Vinted Pay services – as well as other teams across the DSA function on cross‑domain topics.


Role context within DSA

  • Analytics Engineers build and maintain efficient, reliable data models and pipelines.
  • Decision Scientists provide actionable insights, develop automated tools and apply statistical methods to improve product and business decisions.
  • Data Scientists identify algorithmic opportunities, design and maintain production‑grade statistical and machine‑learning models.

In this position, you’ll

  • Work with the payments anti‑fraud team on the fraud classification engine.
  • Design and implement ML solutions for transaction monitoring, anti‑money laundering, operations automation and other areas.
  • Improve the data and ML infrastructure of the Payments business unit.
  • Understand business, product and operational problems, gather requirements for ML and automation projects, and communicate findings to colleagues and stakeholders.

About you

  • Have industry experience in data science or a similar field (ideally 3‑5 years).
  • Hands‑on experience working with ML models in production.
  • Experienced in Python, Jupyter and the PyData stack.
  • Excellent written and spoken English.
  • Have experience with SQL and relational databases.
  • Strong understanding of statistics and ML theory.
  • Have experience with at least one cloud platform (AWS, GCP, Azure, etc.).
  • Enjoy contributing as a supportive and collaborative team member.
  • Good at communicating data.
  • Advantage: Experience with payment processing or financial services.

Work perks

  • The opportunity to benefit from our share options programme.
  • 30 days of paid annual leave.
  • Newest MacBook models.
  • Digital mental and emotional health support and Employee Assistant Program (EAP).
  • Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture.
  • Lunch benefit per your workday.
  • Frequent team‑building events.
  • A personal monthly budget for shopping on Vinted.
  • Access to a discounted gym membership plan.
  • Pension Plan with Vinted matching 150% of your chosen contribution.
  • Supplemental private health insurance.
  • Life and disability insurance.
  • A subsidised Deutschlandticket for your commute to the office by public transport.
  • The opportunity to spend up to 90 days per year—21 of which can be spent working outside of the EU—on a workation.
  • A dog‑friendly office.

Working at Vinted
Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.


Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.


Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability or any other protected characteristic.


The salary range for this position is €69,700 – €94,300 gross per year.


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