Senior Data Scientist

OUR MISSION AND VISION

At the company, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

We're building the #1 payment orchestrator in the world — and the names behind us prove it. Our clients include Bolt, Ajax, Nova Post, Megogo and we're a direct partner of Visa and Mastercard with a European acquiring license. Operating in 150+ markets, with a trusting partners like J.P. Morgan.

The company is part of Endeavor [link for members] — a global community of the world’s most impactful entrepreneurs. We’re proud to be the first payment orchestrator from Europe to join — and to share our expertise within a network of outstanding global companies.

ABOUT THE TEAM AND ROLE

You’ll join the company’s ML team as a Data Scientist, working closely with the Head of ML and ML Engineers. Your focus will be researching payment data, testing hypotheses, and defining modeling approaches that help the team develop ML solutions faster.

The team works with 20M+ orders and 100M+ transactions a month. Its next big step is real-time ML payment routing. You’ll research how to select an acquiring bank for each transaction and prepare the data and modeling approach for ML Engineers to build on.

Explore our technology stack ➡️ here [link for members]

WHAT YOU’LL OWN

— Explore transaction data and assess whether it can support a predictive model for a product problem

— Develop mathematical and statistical approaches to model research

— Define which data is needed and how a model should be trained and evaluated

— Formulate hypotheses and design experiments, including A/B tests

— Prepare research findings, model requirements, and next steps for ML Engineers

— Partner with ML Engineers as they implement and validate models

— Track model outcomes and explain their business impact

— Work with Product, Engineering, and Data Platform teams on data and MLOps needs

YOU’RE A GREAT FIT IF YOU HAVE

— 4–5+ years of experience in Data Science or ML

— Strong mathematical and statistical foundations

— Hands-on experience with classical predictive models, such as fraud detection, credit risk, transaction attribution, financial forecasting, recommendations, or pricing

— Experience taking ML models into production

— Experience designing experiments and A/B tests

— Experience with feature engineering on high-cardinality data

— A proactive approach to finding a problem, proposing a solution, and moving it forward

— Openness to AI and confidence using AI tools

— A driver mindset: you can walk into a greenfield space, figure out what to build, propose it, and own it through delivery

— Great communication skills and comfort working with a wide range of stakeholders

NICE TO HAVE

— Experience in fintech, payments, fraud, or risk

— Experience with real-time or low-latency models

— A master’s degree or PhD in a quantitative discipline

WHY the company?

FOUNDING DIRECTION. YOU'LL HELP BUILD THE FUNCTION, THE TEAM, AND THE STANDARDS FROM DAY ONE, WORKING ALONGSIDE THE HEAD OF ML

Great product. We’ve built a fintech powerhouse that scales fast. The company isn’t just an orchestration player — it’s the financial infrastructure for modern Internet businesses. From subscriptions to chargeback management, fraud prevention, and indirect tax — we’ve got it covered. We hold EMI licence and are a direct Visa & Mastercard partner and sub-reseller (top 5 globally).

Impact you can measure. Every prediction has a clear outcome — approved or declined — which makes payments one of the few domains where ML ROI is provable per transaction.

Scale. You'll work with 20M+ orders and 100M+ transactions monthly, 100+ payment methods and providers.

Top-tier tech team. You'll lead and learn alongside engineers who hold the bar high and ship at fintech scale.

Work from anywhere. Fully remote, no relocation required. We also have offices in Poland, Cyprus, and Ukraine.

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

🫂 Know top talent? We’re always on the lookout. Refer someone [link for members] for our role, and if they get hired, there’s a bonus waiting for you — simple as that.