{"id":1585767,"url":"https://alion.io/job/pezesha-junior-data-scientist","title":"Junior Data Scientist","company":{"id":57585,"name":"Pezesha","domain":"pezesha.com","url":"https://alion.io/company/pezesha","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kenya"],"countries":["KE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T09:52:28Z","employer_posted_date":null,"last_verified_at":"2026-09-25T09:52:28Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"IT Jobs. Pezesha Jobs. Junior Data Scientist turning raw data into actionable insights for credit, product and operations decisions through SQL analysis, portfolio reporting and machine learning support, requiring strong analytical skills, SQL proficiency and eagerness to learn data science techniques, in a fintech lending environment, on-site role.\n\nRole Overview\n\nAs 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.\n\nCore Responsibilities\n\nData Analysis & Reporting\n\nWrite SQL queries to extract, clean, transform and analyze data.\n\nSupport the preparation of recurring business and portfolio reports.\n\nConduct exploratory data analysis to identify trends, patterns, and anomalies.\n\nSupport data requests from Credit, Product, Operations, Finance, and other teams.\n\nHelp validate reported metrics and investigate discrepancies in data.\n\nCredit & Portfolio Analytics\n\nConduct analysis of loan repayment and customer behavior.\n\nAnalyze lending metrics such as repayment rates, PAR, DPD, disbursements, collections, and portfolio performance.\n\nPerform customer segmentation analysis. \n\nSupport monitoring of credit risk indicators and model performance.\n\nContribute to credit scoring improvement ideas.\n\nInsights & Reporting\n\nRespond to data and analysis requests from cross-functional teams (Operations, Product, Finance, Credit).\n\nPrepare weekly and monthly reports for internal stakeholders and external lenders, covering portfolio performance and borrower analytics.\n\nSupport ad-hoc data deep dives to identify performance trends, risks, or operational issues.\n\nModel Experimentation Support\n\nWork closely with senior data scientists to prepare datasets and conduct performance evaluations for machine learning and scorecard prototypes.\n\nParticipate in feature engineering, validation testing, and performance tracking of classification and credit scoring models.\n\nDocumentation & Best Practices\n\nMaintain clear, up-to-date documentation for datasets, metrics definitions, SQL queries, ETL workflows, and dashboards.\n\nContribute to a shared knowledge base including SQL snippets, data dictionaries, and ETL logic to support collaboration and onboarding.\n\nFollow and promote data quality, QA, and reproducibility best practices.\n\nHow to Apply\n\nPlease send your CV and cover letter to ","description_format":"text","description_chars":2809,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-10-01T14:43:12Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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