Senior Data Modeller at InterSwitch

Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing and payment infrastructure to government, banks and corporate organizations. Interswitch, through its “Super Switchâ€Â provides online, real-time transaction switching that enable businesses and individuals have access to their funds across the 24 banks in Nigeria and across a variety of payment channels such as Automated Teller Machines (ATMS), Point of Sale (PoS) terminals, Mobile Phones, Kiosks, Web and Bank Branches.

About the job

• Design, implement, and maintain robust data models that serve as the foundation for analytics, reporting, and machine learning, ensuring accuracy, consistency, and efficiency across the MVNE platform

RESPONSIBILITIES

Data Modelling & Architecture

• Develop and maintain logical and physical data models to organise data effectively for analytics, reporting, and machine learning across the MVNE.
• Optimize and enhance data models to improve query performance, simplify reporting, and support advanced analytics.

Collaboration & Stakeholder Engagement

• Collaborate closely with Data Engineers, Analysts, and tenant stakeholders to ensure data models meet evolving business requirements and regulatory standards.
• Work with stakeholders to identify high-value machine learning use cases (e.g., churn, credit scoring, dynamic pricing, network anomaly detection).

Standards & Best Practices

• Establish data modelling standards and best practices to ensure data integrity, consistency, and reusability across the platform.

Governance & Documentation

• Govern data models through robust documentation, version control, and proactive lifecycle management.

EDUCATION

General Education

• Bachelor's or master’s degree in Computer Science, Data Science, Applied Mathematics, or a related quantitative field.
• Certifications in Data Modelling, Database Management, or Analytics Engineering (e.g., DAMA, CDMP, dbt Certification) are advantageous.

EXPERIENCE

General Experience

• Minimum 7 years in data modelling, analytics engineering, or related roles; at least 5 years in the telecom industry.

Managerial Experience

• Minimum 5 years leading data?science projects or small teams.
• Deep expertise in logical, physical, and dimensional data modelling using tools
• Expertise in Python, PySpark/SparkML, TensorFlow/PyTorch, and SQL.
• Hands-on experience with distributed data processing and lakehouse architectures.
• Familiarity with analytics workflows, including reporting, business intelligence, and supporting ML use-cases.
• Deep understanding of statistical modelling, causal inference, and experiment design.
• Familiarity with privacy-preserving and responsible AI techniques and Nigerian data protection regulations.

Method of Application