(Sr.) Data Scientist

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
• 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
• 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

Qualifications:

• You are 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

Perks & 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.
• And many more! Apply and let us tell you more!