Senior Data Scientist

About Us

Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.

We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.

We shape industry trends and rethink how wealth works by building solutions that reflect that belief. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.

The Role

• Collaborate with data analysts and stakeholders to understand in-depth the business requirements, design expected outcomes and user stories.
• Gather, integrate, and clean up data from various Nexo-based and external sources.
• Implement statistical and/or machine learning models to drive actionable insights.
• Automate existing models to run on a daily, weekly, monthly basis.
• Monitor and improve data and model quality.
• Visualize model results, integrate with Tableau dashboards and extract business insights.
• Discover and employ meaningful AI-driven optimizations in your day-to-day tasks.
• Partner with cross-area teams to support self-service data initiatives.

Requirements

• 3+ years experience as Data Scientist.
• Theoretical knowledge of common statistical and machine learning algorithms - e.g. predictive, clustering, classification, optimization algorithms.
• Proven ability for practical application of such models to solve business problems - e.g. forecasting, customer segmentation, customer engagement, driver impact analysis.
• Experience in exploring, integrating, and modelling massive data sets (100+ million of rows with dozens of variables).
• Proficiency in SQL, Python, PySpark.

Nice to Have

• Reporting and Data Visualization skills.
• Working experience with AWS solutions.
• Working experience with APIs.
• Experience in finance, banking and/or crypto.
• Experience with NLP techniques, analyzing and classifying large amounts of text data.

Benefits

• Competitive and rewarding remuneration package.
• Annual performance-based bonuses.
• Comprehensive Learning Hub for continuous growth.
• Hybrid work model: primarily office-based with scheduled home office flexibility.
• A dynamic and inspiring environment with cutting-edge projects.
• Career development opportunities in a global leader driving the next generation of wealth.
• Customizable personal benefits package.
• Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
• Parking and public transportation cards at preferential rates, plus free electric bikes.
• Fresh fruits, snacks, and a well-stocked office kitchen.
• Regular department team buildings and company-wide team buildings.