{"id":4335019,"url":"https://alion.io/job/capri-global-capital-data-scientist-svp","title":"Data Scientist (SVP)","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":"head","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":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","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 a highly accomplished and business-orientated senior vice president - data science - to lead our data science and advanced analytics function. The ideal candidate will have deep experience in the NBFC, FinTech, banking, or lending ecosystem, with a proven track record of building and deploying machine learning models that drive business growth, improve credit risk decisions, optimise collections, and enhance customer acquisition. This leadership role will be responsible for defining the organisation's AI and data science strategy, building high-performing teams, and partnering with business leaders to create data-driven competitive advantages across the lending lifecycle.\n\nThe core responsibilities for the job include the following:\n\nStrategic Leadership: \nDefine and execute the enterprise-wide Data Science and AI strategy aligned with business objectives.\nDrive data-led decision-making across credit underwriting, risk management, fraud prevention, collections, customer acquisition, and portfolio management.\nPartner with senior leadership to identify opportunities for leveraging advanced analytics and AI to improve business outcomes.\nEstablish best practices, governance frameworks, and standards for model development and deployment.\n\nCredit Risk and Lending Analytics: \nLead the development and enhancement of credit underwriting models, application scorecards, behavioural scorecards, risk segmentation models, and early warning systems.\nProbability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.\nDevelop strategies to improve portfolio quality while maximising approval rates and business growth.\nDrive analytics initiatives for risk-adjusted profitability and portfolio optimisation.\n\nCustomer Acquisition and Marketing Analytics: \nBuild predictive models for customer acquisition, lead scoring, cross-sell, upsell, and customer lifetime value.\nOptimise marketing ROI through advanced targeting, segmentation, and campaign analytics.\nUtilise alternative data sources to improve customer onboarding and lending decisions.\n\nCollections and Fraud Analytics: \nDevelop collection propensity models and recovery optimisation strategies.\nLead fraud detection and prevention initiatives using machine learning and advanced analytics.\nImplement real-time monitoring systems to identify risk and fraud patterns.\n\nAI and Machine Learning Innovation: \nDrive the adoption of AI, machine learning, generative AI, and advanced analytics across business functions.\nBuild scalable ML platforms and production-grade model deployment pipelines.\nEvaluate emerging technologies and identify opportunities for innovation.\n\nTeam Leadership: \nBuild, mentor, and lead a high-performing team of data scientists, ML engineers, analysts, and data engineers.\nFoster a culture of experimentation, innovation, and continuous learning.\nCollaborate with Product, Engineering, Risk, Operations, Compliance, and Business teams.\n\nRequirements: \nBachelor's degree in engineering, mathematics, statistics, computer science, economics, or a related quantitative field.\nMaster's degree (preferred) in data science, statistics, computer science, analytics, mathematics, or a related discipline.\n12-17 years of experience in data science, analytics, risk analytics, or machine learning.\nMinimum 5+ years of leadership experience managing large data science teams.\nStrong experience in NBFC, FinTech, consumer lending, digital lending, banking, credit cards, or retail lending environments.\nPreferred Industry Background: NBFC, FinTech Lending, Digital Lending Platforms, Consumer Finance, Retail Banking, Credit Cards, Personal Loans, SME Lending, Buy Now Pay Later (BNPL).\n\nMust Have: \nAdvanced expertise in Python, SQL, R, Spark, and machine learning frameworks.\nStrong understanding of supervised and unsupervised learning techniques.\nHands-on experience with the following: credit risk modelling, predictive analytics, fraud analytics, customer analytics, and collections analytics.\nExperience deploying models in production environments.\nKnowledge of cloud platforms such as AWS, Azure, or GCP.\nFamiliarity with MLOps, model monitoring, and model governance frameworks.\n\nPreferred: \nExperience with generative AI, LLMs, and AI-driven automation solutions.\nKnowledge of alternative data underwriting and digital lending ecosystems.\nExperience working with large-scale consumer lending portfolios.\n\nLeadership Competencies: \nStrong business acumen with the ability to translate analytics into measurable business impact.\nExceptional stakeholder management and executive communication skills.\nProven ability to influence C-level executives and drive organisational change.\nStrategic thinker with strong execution capabilities.\nAbility to operate effectively in a fast-paced, high-growth environment.\nSkills\nML, Python, Data Science, Machine Learning","description_format":"text","description_chars":4885,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Mortgage Lending & 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