Data Science and Analytics Academy

The Data Science & Analytics (DSA) Academy is a full-time, paid programme created to help early-career talent grow into confident, impactful data professionals. Over the course of one year, you’ll be involved in real projects, develop your technical skills, and work side-by-side with some of the brightest minds in tech.

You’ll rotate through two different teams, each for six months, giving you the chance to explore diverse domains, tools, and challenges. Whether your path leads toward analytics engineering, data science, or decision science - you’ll gain hands-on experience and discover where your strengths shine.

Data Science & Analytics at Vinted

Within Data Science & Analytics (DSA) we have three distinct roles. We believe that each role can make a similarly sized business impact in different ways and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

Decision Scientists are responsible for actionable insights, identifying and seizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.

Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.

Analytics Engineers are responsible for data curation - translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.

When? Our Data Science and Analytics Academy will begin on September 7th, 2026. You will be expected to be available full time from that date.

• Willing to learn new things
• Have good problem solving skills and attention to detail
• Passionate about delivering data driven insights to various stakeholders
• Have excellent written and verbal communications skills in English
• Ready to commit, own and create
• Familiar with SQL and can comfortably pull data out from a SQL database
• Have coding basics in Python
• Have some statistics background (education focus on mathematics/statistics/econometrics/computer science preferred or relevant work experience)

• 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
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• 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