{"id":4335012,"url":"https://alion.io/job/capri-global-capital-applied-data-scientist-2","title":"Applied 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","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Interpretability","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"RLHF","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 a passionate and highly skilled Applied Data Scientist with a strong foundation in machine learning, statistical modelling, and real-world problem-solving within the BFSI and lending domain. The ideal candidate will have 4-7 years of hands-on experience in building, fine-tuning, and deploying end-to-end data science solutions, ranging from traditional risk scorecards to advanced machine learning models. You will be responsible for translating complex credit and portfolio risk challenges into scalable, production-grade AI/ML solutions that power our next-generation lending products and decision engines.\n\nThe core responsibilities for the job include the following:\n\nModel Development and Research Credit: \nRisk Modeling: Design and develop end-to-end credit risk models, including application scorecards, behavioral model development, and portfolio risk modeling.\nSupervised Machine Learning: Apply advanced supervised machine learning techniques alongside traditional statistical frameworks like logistic regression, generalized linear models (GLM), and XGBoost.\nUnsupervised Learning: Utilize unsupervised learning techniques like PCA (Principal Component Analysis) for dimensionality reduction and K-means customer clustering to identify risk segments, fraud vectors, and behavioral patterns.\nRegulatory Compliance: Develop and implement regulatory risk modeling solutions aligned with international standards such as BASEL-2 and IFRS9 frameworks.\nRisk Metrics Estimation: Own the development of core risk parameters, including Probability of Default (PD), Loss Given Default (LGD), and Expected Credit Loss (ECL).\nPerformance Benchmarking: Benchmark and continuously improve model performance using appropriate evaluation metrics and experimentation frameworks.\n\nData Handling and Feature Engineering: \nLarge-Scale Data Processing: Work with large-scale structured and unstructured datasets to build robust data pipelines, conduct exploratory data analysis, and engineer high-quality features.\nCredit Bureau Integration: Leverage deep familiarity with credit bureau data to extract, preprocess, and incorporate bureau features into predictive workflows.\nData Quality Assurance: Ensure rigorous data preprocessing, augmentation, and validation to maximize model accuracy and generalization.\n\nAlgorithm Design and Optimization: \nProduction Optimization: Collaborate with cross-functional teams to design and implement scalable algorithms optimized for production environments.\nModel Explainability: Ensure risk algorithms conform to high standards of transparency, interpretability, and statistical soundness.\n\nCross-Team Collaboration: \nBusiness Alignment: Partner closely with product, engineering, and business teams to align AI/ML solutions with organizational goals.\nScoping Requirements: Translate ambiguous business and portfolio problems into well-scoped data science problem statements with clear success criteria.\n\nResearch and Innovation: \nContinuous Learning: Stay current with state-of-the-art advancements in machine learning.\nMethodology Adoption: Evaluate and adopt relevant new techniques into the team's workflow.\nKnowledge Sharing: Contribute to internal knowledge sharing and, where applicable, to external publications, technical blogs, or patents.\n\nMentoring and Knowledge Sharing: \nTeam Guidance: Mentor junior data scientists and ML engineers, guiding modelling approaches, code quality, and production readiness.\n\nRequirements: \n4-7 years of professional experience in applied data science, machine learning engineering, or risk analytics specifically within the BFSI and lending domain.\nProven track record of developing credit risk scorecards, behavioral models, and regulatory frameworks (BASEL-2 / IFRS9 / ECL / PD / LGD).\nDemonstrated experience implementing supervised machine learning techniques and unsupervised learning techniques (e. g., PCA, K-means customer clustering). Strong understanding of statistical fundamentals and neural network fundamentals.\nGenerative AI: Experience or familiarity with agentic AI frameworks and Retrieval Augmented Generation (RAG) architectures.\nDeep Learning: Hands-on experience applying deep learning techniques to financial services or credit risk use cases.\nAdvanced LLM Frameworks: Familiarity with prompt engineering, RLHF, and LLM evaluation frameworks.\nGovernance: Contributions to open-source ML projects, published research, or active participation in responsible AI and strict model governance practices within regulated industries.\nSkills\nML, Credit Risk, Machine Learning","description_format":"text","description_chars":4581,"description_truncated":false,"requirements":{"experience_years_min":5,"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 & Brokers"],"lifecycle":[{"event":"open","at":"2026-11-15T10:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["seen:0","win:early"],"computed_at":"2026-11-15T12:52:10Z"},"pay":null,"html_url":"https://alion.io/job/capri-global-capital-applied-data-scientist-2","json_url":"https://alion.io/job/capri-global-capital-applied-data-scientist-2.json","meta":{"generated_at":"2026-11-15T12:52:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3115,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":996},"rest":"https://alion.io/mcp/rest/get_company?id=996"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcapri-global-capital-applied-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcapri-global-capital-applied-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcapri-global-capital-applied-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/capri-global-capital-applied-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcapri-global-capital-applied-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4335012}},{"tool":"search_jobs","arguments":{"company":"cgcl.co.in","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4335012},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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