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The ideal candidate should be capable of transforming large datasets into actionable business insights, automating reporting workflows, and building machine learning models to support business decision-making.\n\nResponsibilities: \nDesign and maintain interactive dashboards using Power BI, Tableau, or similar BI tools.\nWrite complex SQL queries for data extraction, validation, transformation, and reconciliation.\nDevelop Python-based automation scripts for reporting and data processing.\nPerform exploratory data analysis to identify trends, patterns, and business drivers.\nBuild and validate machine learning models including Regression, Classification, Forecasting, Clustering, Customer Segmentation, and Anomaly Detection.\nCreate model monitoring reports and track model performance metrics.\nCollaborate with business, risk, operations, collections, and technology teams to deliver actionable insights.\nPresent analytical findings and recommendations to both technical and non-technical 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Detection.\nFamiliarity with Scikit-Learn, Statsmodels, and Model Validation Techniques.\nKnowledge of JIRA, Confluence, and Analytics Documentation Practices.\nExperience translating business problems into analytical solutions.\nSkills\nML, Python, SQL, Machine Learning, Scikit-learn, Sklearn","description_format":"text","description_chars":2412,"description_truncated":false,"requirements":{"experience_years_min":1,"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","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-11-15T10:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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