The Data Scientist will develop and deploy descriptive, predictive, and prescriptive analytical models to generate actionable insights that improve decision making, increase transactions, and enhance overall company profitability. The person in this role must combine strong analytical and technical capabilities with a deep curiosity to understand the remittance business and its dynamics in detail.
Requirements
- Develop descriptive, predictive, and prescriptive analytical models to support key business decisions
- Proactively identify opportunities where data science and Artificial Intelligence can generate business value
- Take ownership of analytical initiatives from problem definition to implementation
- Lead cross-functional collaboration with teams such as Sales, Marketing, Operations, Compliance, Product, and Technology
- Translate business problems into analytical questions and propose data-driven solutions
- Work closely with the Data Architecture team to ensure reliable, scalable, and well-structured data pipelines
- Validate, monitor, and continuously improve analytical models to ensure accuracy, performance, and long-term reliability
- Communicate insights and recommendations clearly, presenting analytical findings along with practical solutions and business implications
- Promote a culture of data-driven decision-making across the organization
Benefits
- Performance Bonus
- Diverse and multicultural work environment
- Innovative environment with the structure and resources of a leading multinational
- Opportunities for professional growth aligned with your learning and development