Manager of Data Science & Analytics, Payments Intelligence
Vinted · Kaunas, Lithuania ·
- Work mode
- Hybrid
- Category
- Data science
- Company size
- 501-1000
- Salary
- EUR 6,167 – 8,342 / month
Leads a data science & analytics team for Vinted Pay, building scalable data products and driving data-driven decisions in payments intelligence. Focuses on team growth, cross-functional collaboration, and shaping a global financial platform.
Brief info about Vinted
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.
Information about the position
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.
In this position, you’ll
- 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
About you
- 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 ideas in a simple, pragmatic, and persuasive way
- You’re hands-on enough to challenge assumptions, review work, and guide technical direction when needed
- You can effectively collaborate with senior stakeholders across different functions
- The opportunity to benefit from our share options programme
- 25 working days of holiday
- Access to all the tools & tech needed for work
- Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- Private health insurance
- Digital mental and emotional health support and Employee Assistant Program (EAP)
- Frequent team-building events
- A personal monthly budget for shopping on Vinted
- A dog-friendly office
- In Vilnius office: Gym & in-house meals at friendly prices
- In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast
Working at Vinted
Workation policy
Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.
Individual learning budget
Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.
Hybrid work
Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.
Equal opportunity
We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!