Senior Data Modeller at Interswitch Group

Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organisations on a timely and consistent basis. We started operations in 2002 as a transaction switching and electronic payments processing, and have progressively evolved into an integrated payment services company, building and managing payment infrastructure as well as delivering innovative payment products and transactional services throughout the African continent. At Interswitch, we offer unique career opportunities for individuals capable of playing key roles and adding value in an innovative and fun environment.

We are recruiting to fill the position below:

Job Title: Senior Data Modeller

Location: Lagos
Job type: Full time

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.

Requirements
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.

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.

Application Closing Date
Not Specified.