(Sr.) Data Scientist

About BTSE

BTSE Group is a leading global fintech and blockchain company 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. BTSE's diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses.

The Role

We are hiring a Senior Data Scientist / Analytics Engineer to be a senior individual contributor on the BI team. You will own the harder problems — the ones that need someone who understands the underlying data deeply and can shape it into something the business can use.

Most of your time will be spent working with the raw data: understanding what is in it, what is missing, what is reliable, and what features need to be engineered to make it useful. The rest of your time will be spent partnering with the business — occasionally building dashboards yourself, occasionally guiding more junior analysts who are building them. Your output is not just dashboards. It is the data layer that everything else is built on.

Responsibilities

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

Requirements

Technical Proficiency

• 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

Data Expertise

• 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

Benefits

• 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