Senior Officer, Data Science and Engineering at Equity Bank Rwanda

Company: Equity Bank Rwanda
Job Title: Senior Officer, Data Science and Engineering
Location: Rwanda
Category: Engineering & Technology
Deadline: 17 September 2026

Job Purpose

Equity Bank Rwanda is seeking a Senior Officer, Data Science and Engineering to support data-driven decision-making across the Bank.

The role is responsible for designing, developing and maintaining scalable data pipelines, analytical solutions, and Artificial Intelligence (AI) and Machine Learning (ML) models. The position combines Data Engineering, Data Science and Machine Learning capabilities to transform complex banking data into reliable datasets, predictive insights and automated solutions.

Key Responsibilities

Data Engineering & Integration

  • Design, develop and maintain reliable and scalable ETL/ELT data pipelines.

  • Integrate data from core banking systems, digital channels, CRM, ERP, APIs and other enterprise data sources.

  • Build and maintain analytical datasets for reporting, advanced analytics and Machine Learning.

  • Support the Bank's Enterprise Data Warehouse and analytical data platforms.

  • Automate data ingestion, transformation, validation and processing.

  • Monitor and optimize data pipelines for performance, availability and reliability.

Data Science, AI & Machine Learning

  • Analyze large and complex datasets to identify patterns, trends, anomalies and business opportunities.

  • Design, develop, test and deploy predictive and Machine Learning models.

  • Develop analytical solutions for credit risk, customer segmentation, churn and retention, fraud detection, product recommendations, revenue analysis and forecasting.

  • Support Generative AI, Natural Language Processing (NLP) and intelligent automation initiatives.

Model Deployment & MLOps

  • Support the deployment and integration of Machine Learning models into production systems.

  • Implement model versioning, monitoring and performance tracking.

  • Monitor models for performance degradation and data drift.

  • Support automated model training, testing, deployment and retraining.

Data Modelling & Warehousing

  • Develop complex SQL queries, procedures and scripts for data extraction, transformation and analysis.

  • Design data models and analytical structures.

  • Optimize queries and data-processing workloads for large banking datasets.

Qualifications and Experience

  • Bachelor's degree in Data Science, Computer Science, Software Engineering, Computer Engineering, Statistics, Mathematics, Information Technology or a related quantitative discipline.

  • Master's degree in Data Science, Artificial Intelligence, Machine Learning or a related field is an added advantage.

  • Relevant professional certifications in Data Science, Data Engineering, AI/ML or Cloud Technologies are an added advantage.

  • Minimum 2–3 years of relevant experience in Data Science, Data Engineering, Machine Learning, Advanced Analytics or a related field.

  • Hands-on experience developing ETL/ELT pipelines, analytical datasets and Machine Learning models.

  • Strong experience with large datasets, relational databases, SQL and Python.

  • Experience deploying analytical or Machine Learning solutions into production is an added advantage.

  • Experience in banking, financial services, FinTech or another regulated environment is an added advantage.

Technical Skills

Candidates should have knowledge and experience in:

  • Python and SQL

  • Machine Learning and predictive modelling

  • Statistical analysis

  • ETL/ELT and data pipelines

  • Data warehousing and data modelling

  • Oracle, SQL Server and/or MySQL databases

  • Data visualization and BI tools, preferably Power BI

  • APIs and system integration

  • Data quality, governance and security

  • Model deployment and Cloud/AI technologies

Core Competencies

  • Strong analytical, problem-solving and quantitative skills

  • Ability to translate business needs into data and AI solutions

  • Strong focus on data quality, accuracy, security and confidentiality

  • Effective communication and stakeholder management skills

  • Strong ownership and accountability

  • Ability to work independently

  • Innovative and continuous-learning mindset

Application

If you meet the above requirements, submit your application by 17 September 2026.

Applicants should include:

  • Updated Curriculum Vitae (CV)

  • Copies of relevant certificates

  • Testimonials

Application: All applications should be submitted in soft copy through the indicated Equity Bank recruitment link. Only shortlisted candidates will be contacted.

Apply through: Equity Bank Careers Portal

Equity Bank is an equal opportunity employer.

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