Junior Data Scientist
AI summary
Pezesha, a Nairobi-based fintech serving MSMEs, is hiring a Junior Data Scientist to turn raw data into insights for credit, product, operations, and business decisions. You will write SQL, analyze lending and portfolio metrics, prepare recurring reports, and support machine learning and credit-scoring projects under senior guidance.
- Full-time Junior Data Scientist role at Pezesha in Nairobi
- Write SQL to extract, clean, transform, and analyze business data
- Analyze lending metrics such as repayment rates, PAR, DPD, and portfolio performance
- Support machine learning and credit-scoring model experiments with senior data scientists
- Prepare weekly and monthly reports for internal stakeholders and external lenders
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- PreferredPractical evidence in internship, finance, Data ScientistThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Junior Data Scientist evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Pezesha and the role in Nairobi.
- Add concrete examples related to internship, finance, Data Scientist, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Junior Data Scientist role in internship, finance?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Pezesha before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Use AI to apply better
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Original source description
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.