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Join BTSE as a Senior Data Scientist to own complex data challenges, engineer features, and partner with stakeholders in a leading fintech and blockchain company. Competitive salary and benefits in a dynamic environment.
BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech.
- Own the underlying data
- Develop a deep understanding of the source data.
- Identify gaps, inconsistencies, and quality issues; partner with Data Engineering to resolve them at source
- Design and build the silver and gold-layer tables that downstream dashboards and analyses rely on
- Engineer the features that matter
- Translate business concepts into well-defined data features: user segments, lifecycle stages, behavioural scores, profitability metrics
- Build the shared dimensions and metric definitions that get reused across the BI portfolio
- Ensure features are reproducible, documented, and trusted — so the rest of the team and the business can rely on them
- Partner with the business
- Work directly with stakeholders across domains to understand the decisions they need to make
- Occasionally build dashboards end-to-end — particularly for the more complex, cross-domain, or analytically heavy ones
- Proficient in Python and SQL
- Strong, production-grade SQL — including window functions, complex joins, and performance tuning on large datasets
- Proficient Python for data work — pandas, PySpark, and the broader analytics ecosystem
- Comfortable working in a modern lakehouse environment (Databricks preferred); familiar with Delta tables, medallion architecture, and notebook-driven workflows
- Track record of working with messy, real-world transactional data and turning it into something the business can use
- Experience building reusable data models, semantic layers, or metric definitions
- Good instincts for data quality — you spot when a number looks wrong before anyone else does
- Competitive salary and benefits package.
- Opportunity to work in a fast-paced and innovative environment.
- Be part of a growing and dynamic team.
- Make a real impact on the company's success.
- Various team building programs and company events.
- Comprehensive healthcare schemes for employees and dependants.