Safaricom

Machine Learning Engineer ( Internal/External)

Safaricom
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6 days ago
Addis Ababa, EthiopiaMid Level

Responsibilities

  • Extract, transform, clean, structure, and quality-check GSM, M-PESA, repayment, customer, and external data for credit scoring.
  • Develop and maintain data pipelines and integrate new internal and external data sources.
  • Develop features and support the training, validation, back-testing, tuning, and evaluation of machine-learning and statistical models.
  • Implement, deploy, version, monitor, retrain, and enhance production credit-scoring models.
  • Monitor model performance, data drift, customer behavior, and portfolio changes, and investigate scoring or data issues.
  • Analyze approval rates, repayment performance, customer segments, and credit-risk indicators for Product and Portfolio teams.
  • Support testing of eligibility rules, credit limits, decision rules, and scoring strategies.
  • Maintain technical documentation for datasets, features, models, and pipelines.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 2–4 years of experience in machine learning, data science, data engineering, analytics, or related technical roles.
  • Strong Python and SQL programming skills.
  • Hands-on experience preparing large datasets and working with transactional, behavioral, and time-series data.
  • Knowledge of supervised learning, classification models, feature engineering, model validation, and performance monitoring.
  • Experience with ETL, data pipelines, data processing frameworks, machine-learning libraries, analytical tools, and relational databases, data warehouses, or data lakes.
  • Understanding of model development, validation, and production deployment.
  • Good written and verbal communication skills in English.
  • Preferred experience in credit scoring, digital lending, banking, FinTech, telecommunications, mobile financial services, GSM, mobile-wallet, transactional, or alternative data.
  • Preferred experience with cloud-based data and machine-learning environments, MLOps, model monitoring, and automated deployment pipelines.
  • Understanding of credit-risk concepts including default, delinquency, NPLs, and repayment behavior.

Tech Stack

Categories

Safaricom

About Safaricom

10,000+ employees

Safaricom builds and operates mobile and fixed connectivity services and the M-PESA mobile money platform for consumers and enterprises in East Africa. Founded in 1997 and headquartered in Nairobi, it is publicly listed on the Nairobi Securities Exchange and is part-owned by Vodacom Group and the Government of Kenya. The company runs Kenya’s largest mobile network and has expanded into Ethiopia through Safaricom Ethiopia.

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