{"id":4335025,"url":"https://alion.io/job/capri-global-capital-senior-data-scientist","title":"Senior Data Scientist","company":{"id":996,"name":"Capri Global Capital","domain":"cgcl.co.in","url":"https://alion.io/company/capri-global-capital","size_band":"5000+","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-15T10:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-15T10:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an Applied Data Scientist - Credit Risk with strong expertise in Credit Risk Modelling, Machine Learning, Statistical Modelling, and Risk Analytics within the BFSI/Lending domain. The ideal candidate should have hands-on experience building and deploying credit scorecards, behavioural models, and risk solutions using advanced ML techniques.\n\nResponsibilities: \nDevelop and optimise Credit Risk Models, Application Scorecards, Behavioural Models, PD, LGD, and ECL frameworks.\nBuild predictive models using Logistic Regression, GLM, XGBoost, and Machine Learning techniques.\nApply PCA, K-Means Clustering, and other analytical techniques for customer segmentation and risk assessment.\nWork with large-scale datasets, perform feature engineering, EDA, and model validation.\nLeverage Credit Bureau Data and lending datasets to improve risk decisioning.\nEnsure compliance with BASEL-II, IFRS9 and regulatory risk frameworks.\nCollaborate with Product, Risk, Engineering, and Business teams to deliver production-grade AI/ML solutions.\nMentor junior team members and contribute to model governance and best practices.\n\nRequirements: \n4-7 years of experience in Data Science, Credit Risk Analytics, or Machine Learning within BFSI/Lending.\nStrong expertise in: Credit Risk Modelling, Application & Behavioural Scorecards, PD, LGD, ECL, BASEL-II & IFRS9 Credit Bureau Data.\nHands-on experience with: Python, SQL, Pandas, Spark / PySpark, Scikit-Learn, XGBoost, TensorFlow / PyTorch.\nStrong understanding of: Logistic Regression, GLM, PCA, K-Means Clustering, Statistical Modelling & Machine Learning.\nSkills\nML, Python, Credit Risk Modeling, Credit Risk Modelling, Machine Learning","description_format":"text","description_chars":1693,"description_truncated":false,"requirements":{"experience_years_min":4,"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 & 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