Manager of Data Science & Analytics, Intelligence

Manager of Data Science & Analytics, Payments Intelligence

Data Science & Analytics

Amsterdam, Netherlands

Vinted Pay

Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third.
The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second‑hand fashion and a go‑to destination for all kinds of pre‑loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick‑up and drop‑off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high‑value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.

As a Manager of Data Science & Analytics, Payments Intelligence you will report directly to the Director of Data Science & Analytics, Payments BU and will be leading an analytics‑focused team. Payments Intelligence team supports all Payments Business Unit across different domains: it serves as a Data Science and Analytics Engineering hub, a technical centre of excellence and the last line of support when domains need it.

You will have to collaborate closely with Engineering, Product, Data, Design, Business, Compliance and Finance stakeholders across the Payments organisation. You will be the direct manager of Analytics Engineers, Data Scientists and Decision Scientists

Payments are set out to create a global, revenue‑generating, multi‑service financial platform that will accelerate Vinted’s mission of making secondhand the first choice and you will play a key role in shaping it. Currently Payments is an ambitious, quickly growing business area, which brings its own challenges and opportunities. To be successful and satisfied in this role you need to be comfortable with a fast pace and continuous change.

In return, you get to build something really big together with other driven and caring colleagues.

• Lead an analytics‑focused team composed of a mix of roles by setting clear direction, supporting individual growth, and creating an environment where people can do high quality work autonomously
• Ensure that we build scalable data‑products efficiently
• Ensure that we make data‑driven decisions quickly and to a high quality
• Closely collaborate with Product, Engineering, Business, Compliance and Finance stakeholders towards the outcomes that are best for the Vinted Group
• Support your team beyond when needed by helping navigate ambiguity, unblocking ad hoc issues, and stepping in where your leadership adds the most value

• You’ve worked with payments or fintech previously (2+ years of experience in a large fintech strongly preferred)
• You have experience leading and growing a domain or a complex team
• You have a strong applied background in data, including previous hands‑on experience and relevant education (STEM degree or equivalent)
• You can see the big picture, identify systemic patterns, propose systemic solutions and drive their implementation
• You understand modern data approaches, you know how to balance experimentation, modelling quality, delivery speed, and long‑term maintainability
• You bring strong technical, product and business judgment, and can connect technical decisions to the company goals
• You communicate clearly and can explain complex…