Machine Learning Engineer ( Internal/External)

At Safaricom Ethiopia, we are a purpose-led technology company dedicated to transforming lives through digital connectivity and inclusive financial services. In less than five years, we have grown to serve over 15 million 90 days active customers, with our network now reaching 60% of Ethiopia’s population; a testament to our bold vision and trusted partnerships.

Guided by our core values of Customer Obsession, Innovation, Integrity, and Get It Done Together, we are building a dynamic, inclusive, and empowering workplace. We believe our greatest strength lies in our people. That is why, for three consecutive years, we have proudly earned the Top Employer Award. In addition, we have received the African Top Employer recognition for the first time, reflecting our unwavering commitment to fostering a supportive, innovative, and inclusive work environment.

Join Safaricom Ethiopia and be part of a team shaping the digital future of Ethiopia. Here, your work has meaning, your voice matters, and your growth is our priority. Together, we are transforming lives for a digital future.

Role purpose:

The role holder is responsible for providing hands-on technical support for the end-to-end development and operation of the company’s Credit Scoring capability.

Reporting to the Credit Scoring Manager, the role prepares, processes and analyzes GSM, M-PESA, repayment and external data required for credit scoring, and supports the development, testing, deployment and monitoring of machine-learning and analytical models.

The role works closely with Data, Product, Portfolio and Technology teams to ensure that reliable and production-ready data and models are available to support automated credit decisioning and continuous improvement of Credit Products.

Must have technical / professional qualifications:

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field.
- Strong programming skills in Python and SQL.
- Experience with machine-learning libraries and analytical tools.
- Experience working with relational databases, data warehouses or data lake environments.
- Understanding of model development, validation and production deployment.
- Good written and verbal communication skills in English.

Desired

- Experience in Credit Scoring, Digital Lending, Banking, FinTech, Telecommunications or Mobile Financial Services.
- Experience working with GSM, mobile wallet, transactional or alternative data.
- Experience with cloud-based data and machine-learning environments.
- Experience with MLOps, model monitoring and automated deployment pipelines.
- Understanding of credit risk concepts such as default, delinquency, NPLs and repayment behaviour.

How to Apply. I f you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to create/ update your candidate profile on the recruitment portal and then Click on the apply button . Remember to attach your resume.