Data Science

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟴 𝗟𝗣𝗔)

2+ yrs

We are looking for an analytical and data-driven

to strengthen analytics capabilities, develop scalable data solutions, and generate actionable insights that support business growth and informed decision-making.

The role combines

data analytics, predictive modelling, experimentation, data infrastructure, and business intelligence

, offering an opportunity to work on high-impact business problems across customer acquisition, retention, risk, delinquency, and profitability.

• Define, manage, and continuously improve the analytics roadmap in alignment with business objectives
• Build, deploy, and maintain scalable data infrastructure, including data warehouses and data marts
• Develop and maintain predictive models, scoring systems, and analytical solutions to support business decisions
• Explore and evaluate alternate data sources to improve predictive capabilities and business insights
• Work with large and complex datasets to identify trends, patterns, opportunities, and business risks
• Partner with cross-functional teams to design and execute A/B tests, experiments, and test-and-learn initiatives
• Develop analytics solutions supporting customer acquisition, churn reduction, delinquency control, and profitability improvement
• Generate actionable insights through automated reports, dashboards, MIS, analytical queries, and business intelligence solutions
• Monitor model performance, business metrics, data quality, and analytical outputs
• Identify performance gaps and recommend optimisation strategies based on data-driven analysis
• Ensure data accuracy, consistency, reliability, and availability across reporting and analytics systems
• Support deployment, monitoring, and performance management of analytical and predictive solutions
• Develop reusable analytical frameworks and processes to improve efficiency and scalability
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
• Present analytical findings and recommendations clearly to technical and non-technical stakeholders
• Continuously identify opportunities to improve analytics processes, automation, data utilisation, and decision-making

• 2+ years of hands-on analytics experience in fintech, financial services, startups, consulting, or a related environment
• Strong proficiency in SQL and Python for data analysis, querying, modelling, and automation
• Strong understanding of data-driven problem solving and analytical frameworks
• Experience working with large datasets and converting complex data into actionable business insights
• Hands-on experience with data management, deployment, monitoring, and performance management frameworks
• Understanding of predictive modelling, scoring systems, and analytical decision-making
• Exposure to A/B testing, experimentation, or test-and-learn methodologies
• Experience working with data warehouses, data marts, reporting systems, and analytical infrastructure
• Strong understanding of data quality, consistency, validation, and reliability
• Ability to connect analytical findings with measurable business outcomes
• Strong communication and stakeholder-management skills, with the ability to explain analytical concepts clearly
• Highly analytical, detail-oriented, and comfortable investigating complex business problems
• Self-driven and proactive, with the ability to work independently in a fast-paced, data-driven environment
• Strong problem-solving mindset and willingness to continuously learn new analytical techniques and technologies