Senior Data Scientist
Nexo — Crypto lending and payments
About the role
Driving the next generation of wealth.
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.
But technology alone doesn’t drive progress. People do.
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.
What makes Nexo different?
We shape industry trends. We rethink how wealth works and build solutions that reflect that belief.
That requires a certain kind of person.
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.
This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.
Official website: nexo.com
Your role:
Collaborate with data analysts & 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 & extract business insights.
Discover and employ meanignful AI-driven optimizations in your day-to-day tasks.
Partner with cross-area teams to support self-service data initiatives.
What makes you stand out:
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.
Reporting and Data Visualization skills will be considered a plus.
Working experience with AWS solutions will be considered a plus.
Working experience with APIs will be considered a plus.
Experience in finance, banking and/or crypto will be considered a plus.
Experience with NLP techniques, analyzing and classifying large amounts of text data will be considered a plus.
Nexo 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.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Data Scientist roles ask for — across 355 indexed openings: Python (76%), SQL (63%), ML (58%), REST/APIs (34%), AI/LLM (30%). This posting names Python, SQL, ML, Cloud.
- Nexo is hiring actively — 12 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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