Pezesha Junior Data Scientist Jobs in Kenya
Role Overview
Support the Data Team in transforming raw data into actionable insights that inform credit, product, operations and business decisions.
Work on real business challenges involving customer behavior, lending performance, transaction data, credit risk and operational analytics.
Contribute to machine learning and credit-scoring projects under the guidance of senior team members.
Ideal for a candidate who is analytical, curious, data-driven 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 business teams.
Validate reported metrics and investigate data discrepancies.
Credit & Portfolio Analytics
Conduct analysis of loan repayment behavior and customer performance.
Analyze lending metrics including repayment rates, PAR, DPD, disbursements, collections and portfolio performance.
Perform customer segmentation analysis.
Support monitoring of credit risk indicators and model performance.
Contribute ideas for improving credit-scoring methodologies.
Insights & Reporting
Respond to data and analytics requests from cross-functional teams.
Prepare weekly and monthly reports covering portfolio performance and borrower analytics for internal stakeholders and external lenders.
Support ad hoc analytical deep-dives to identify trends, risks and operational challenges.
Model Experimentation Support
Work with senior data scientists to prepare datasets and evaluate machine learning and credit-scoring models.
Participate in feature engineering, validation testing and performance monitoring of classification and credit-scoring models.
Documentation & Best Practices
Maintain clear documentation for datasets, metrics definitions, SQL queries, ETL workflows and dashboards.
Contribute to shared knowledge repositories including SQL snippets, data dictionaries and ETL documentation.
Promote data quality, quality assurance and reproducibility best practices.
Key Performance Indicators (KPIs)
Request SLA: Deliver at least 95% of internal data requests within agreed timelines.
Dashboard Uptime & Quality: Maintain 99% or higher uptime
and accuracy for operational dashboards.
Experimentation Support: Support and analyze at least two (2) credit or product experiments per quarter.
SQL Query Reusability: Develop reusable templates for at least three (3) core reporting use cases per quarter.
BI Tool Enhancement: Contribute at least one (1) new dashboard or major enhancement per quarter.
Documentation Coverage: Maintain 100% documentation for owned queries, ETLs and reports.
Cross-Team Collaboration: Achieve positive feedback from at least two (2) cross-functional teams per quarter.
Learning & Development: Demonstrate increasing independence in data science, analytics and SQL-related tasks.
Data Quality: Proactively identify, document and flag data quality issues.
Required Skills & Qualifications
Strong SQL proficiency, preferably with BigQuery experience.
Experience with ETL pipelines and cloud-based data environments, preferably Google Cloud Platform (GCP).
Familiarity with Business Intelligence tools such as Superset or similar platforms.
Basic understanding of credit risk, lending metrics or financial data is a strong advantage.
Exposure to R Programming, Python and data analysis libraries is an added advantage.
Strong attention to detail, data quality and documentation.
Ability to collaborate across teams and effectively manage multiple requests.
What Success Looks Like
Reliable and accurate data supporting credit and operational decision-making.
Dashboards and reports trusted by internal teams and external partners.
Consistent quality assurance and documentation standards across data outputs.
Increasing independence and contribution to credit analytics, reporting and experimentation initiatives.
Why Join Pezesha?
Be part of a mission-driven organization advancing financial inclusion for MSMEs across Africa.
Work with a high-impact, data-driven team solving real-world financial challenges.
Gain opportunities for professional growth, leadership development and regional exposure within a rapidly growing fintech company.
Competitive compensation and benefits package.
Candidate must be based in Nairobi, Kenya.
How to apply
To apply, please send your CV and github link or work to jobs@pezesha.com with the subject line: REF 26 –Junior Data Scientist
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