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Professional Data Scientist Job at Rwanda Revenue Authority (Apply Before 19 February 2026)

Two African data scientists analyzing financial and tax data on large monitors in a modern office, representing a data science job opportunity at Rwanda Revenue Authority.


Are you searching for a Data Scientist job in Rwanda? Here is a great opportunity to work with one of the leading government institutions in the country.

The Rwanda Revenue Authority (RRA) is hiring a Professional Data Scientist to join its Data Science Team. If you have strong skills in machine learning, data analysis, and artificial intelligence, this position could be perfect for you.

The application deadline is 19 February 2026, so make sure to apply early.

About the Job: Professional Data Scientist (P1)

  • Position: Professional Data Scientist
  • Grade: P1
  • Location: Headquarters (HQ)
  • Working Mode: Hybrid (office + remote)
  • Reports To: Director, Data Science Unit

This role focuses on using data science, machine learning, and AI to improve tax compliance, risk analysis, and fraud detection systems.

What Does a Data Scientist at RRA Do?

A Professional Data Scientist at RRA works on real-world national challenges. The main goal is to use data to support smart decision-making and improve public services.

Key Responsibilities

1. Build and Deploy Machine Learning Models

You will:

  • Develop models for tax compliance
  • Create systems for risk assessment
  • Design tools for fraud detection

For example, you may build a model that identifies unusual tax transactions and alerts compliance teams.

2. Clean and Prepare Large Datasets

Before building models, data must be cleaned and organized. You will work with:

  • EBM transactions
  • Tax declarations
  • Customs data

Using tools like Python (Pandas, NumPy) and SQL, you will prepare data for analysis.

3. Work with Different Teams

You will collaborate with:

  • IT teams
  • Risk management officers
  • Policy experts
  • Compliance departments

This ensures that your data solutions are used in real operations.

4. Deploy AI Solutions in Production

Your job will not end with building models. You will:

  • Deploy models using Docker and Kubernetes
  • Track model performance with tools like MLFlow and Kubeflow
  • Ensure systems are scalable and reliable

This means your solutions must work efficiently in real environments.

Required Academic Qualifications

To qualify, you need a degree in one of the following fields:

Preferred (Master’s Degree)

  • Data Science
  • Artificial Intelligence / Machine Learning
  • Big Data & Analytics
  • Computer Science
  • Computer Engineering
  • Statistics or Applied Mathematics
  • Economics
  • Information Technology

Relevant (Bachelor’s Degree)

A Bachelor’s Degree in the same fields is also accepted.

Required Work Experience

  • 2 years of experience (for Bachelor’s Degree holders)
  • 1 year experience (for Master’s Degree holders)

Experience in Data Science, AI, or Machine Learning projects is required.

Technical Skills You Must Have

To succeed in this job, you should be comfortable with:

Programming & Data Analysis

  • Python (Pandas, NumPy, SciPy, StatsModels)
  • SQL
  • Spark or Hive (Big Data tools)

Machine Learning Frameworks

  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Keras

Data Visualization Tools

  • Matplotlib
  • Seaborn
  • Plotly
  • Dash
  • Tableau

Model Deployment Tools

  • MLFlow
  • Weights & Biases
  • Docker
  • Kubernetes

Web Development (Bonus)

  • Flask or Django
  • FastAPI
  • HTML, CSS, JavaScript
  • APIs and Microservices

Soft Skills & Professional Competencies

Besides technical skills, RRA is looking for candidates with:

  • Strong communication skills
  • Analytical thinking
  • Problem-solving ability
  • Time management
  • Teamwork
  • Integrity and professionalism
  • Commitment to continuous learning

You must also understand data governance, privacy laws, and ethical AI practices.

Why This Job Is Important

This is not just a technical job. It directly impacts:

  • National revenue collection
  • Fraud prevention
  • Risk management systems
  • Evidence-based government decisions

Your work will help improve Rwanda’s tax systems using modern AI technology.

Who Should Apply?

This opportunity is ideal for:

  • Data Scientists in Rwanda looking for government jobs
  • AI and Machine Learning professionals
  • Statistics or Computer Science graduates with experience
  • Professionals interested in public sector innovation

If you are passionate about Data Science careers in Rwanda, this is a strong opportunity.

Application Deadline

Deadline: 19 February 2026

Make sure to submit your application before the deadline through the official recruitment portal of the Rwanda Revenue Authority.

The Professional Data Scientist position at the Rwanda Revenue Authority offers a valuable chance to apply advanced analytics and AI skills to real national challenges. With a hybrid work setup, strong career growth potential, and meaningful impact, this role is ideal for experienced data professionals in Rwanda.

If you meet the qualifications and have experience in machine learning, big data, and AI deployment, don’t miss this opportunity.

Apply before 19 February 2026 and take your data science career to the next level.

Click Here To Apply


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