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Information technology, software development, data jobs in Ruiru, Kenya
1 jobs found
SAFARICOM
M-Pesa Africa: Executive Head of Product – Digital
Closed for applications
Expired
Posted: Sep 15, 2026
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Profession (Finance & FinTech)
Industry (Information technology, software development, data)
Agriculture, fishing, forestry,Banking, microfinance, insurance,Computers, software development and services,Data/Research,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Manufacturing,Non-profit, social work,Real estate,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Transportation, logistics, storage,
Seniority (Information technology, software development, data, Finance & FinTech)
© Fuzu Ltd
Pezesha
Finance & FinTech
Junior Data Scientist
Description
About Pezesha
Pezesha is a leading embedded finance company that provides affordable and data-driven credit solutions to MSMEs across Africa. We combine technology, alternative data, and financial partnerships to close the $360B financing gap for small businesses while ensuring sustainable financial inclusion.
We are looking for a Junior Data Scientist to join our Data Team and gain hands-on experience working with real-world financial and transactional data. The Junior Data Scientist will support data analysis, reporting, data quality, experimentation, and credit risk analytics while working alongside experienced data scientists and data engineers.
This is an execution-focused learning opportunity for someone who wants to build a strong foundation in data science and analytics within a fast-paced fintech environment.
Role Overview
As a Junior Data Scientist, you will support the Data Team in turning raw data into actionable insights that inform credit, product, operations, and business decisions. You will work on real business problems involving customer behavior, lending performance, transaction data, credit risk, and operational analytics. You will also have opportunities to contribute to machine learning and credit-scoring projects under the guidance of senior members of the team. The ideal candidate is curious, analytical, comfortable working with data, and eager to learn.
Core Responsibilities
Data Analysis & Reporting
- Write SQL queries to extract, clean, transform and analyze data.
- Support the preparation of recurring business and portfolio reports.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Support data requests from Credit, Product, Operations, Finance, and other teams.
- Help validate reported metrics and investigate discrepancies in data.
Credit & Portfolio Analytics
- Conduct analysis of loan repayment and customer behavior.
- Analyze lending metrics such as repayment rates, PAR, DPD, disbursements, collections, and portfolio performance.
- Perform customer segmentation analysis.
- Support monitoring of credit risk indicators and model performance.
- Contribute to credit scoring improvement ideas.
Insights & Reporting
- Respond to data and analysis requests from cross-functional teams (Operations, Product, Finance, Credit).
- Prepare weekly and monthly reports for internal stakeholders and external lenders, covering portfolio performance and borrower analytics.
- Support ad-hoc data deep dives to identify performance trends, risks, or operational issues.
Model Experimentation Support
- Work closely with senior data scientists to prepare datasets and conduct performance evaluations for machine learning and scorecard prototypes.
- Participate in feature engineering, validation testing, and performance tracking of classification and credit scoring models.
Documentation & Best Practices
- Maintain clear, up-to-date documentation for datasets, metrics definitions, SQL queries, ETL workflows, and dashboards.
- Contribute to a shared knowledge base including SQL snippets, data dictionaries, and ETL logic to support collaboration and onboarding.
- Follow and promote data quality, QA, and reproducibility best practices.
How to apply
Please send your CV and cover letter to jobs@pezesha.com using the title of the position as the subject of the email
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