{"id":4169890,"url":"https://alion.io/job/global-payments-data-scientist","title":"Data Scientist","company":{"id":2520,"name":"Global Payments","domain":"globalpayments.com","url":"https://alion.io/company/globaltech-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":95,"ghost_share":0.053,"stale_share":0.189,"repost_share":0.126,"time_to_fill_p50_days":22,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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":"A/B Testing","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T14:26:45Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T14:26:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Ready to take your career global?\nMake your mark at one of the biggest names in payments. We’re looking for a Data Scientist to join our ever-evolving Customer Data & Portfolio Analytics organization. In this role, you will help develop and deploy advanced analytics, machine learning, and AI solutions that drive customer growth, retention, and portfolio optimization at scale, helping to shape the future of Global Payments.\nWhat you’ll own\n4-5 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.\nStrong proficiency in Python and SQL.\nProven experience developing, deploying, and maintaining production-grade machine learning models in production environments.\nExperience in customer analytics, portfolio management, commercial analytics, CRM analytics, marketing analytics, or customer lifecycle management.\nExperience building predictive analytics solutions such as attrition/churn models, propensity models, customer segmentation, recommendation systems, forecasting solutions, customer lifetime value models, or Next Best Action frameworks.\nStrong understanding of machine learning, statistical modeling, feature engineering, and model validation.\nExperience with modern data science platforms such as Databricks, Snowflake, AWS SageMaker, or similar cloud environments.\nFamiliarity with MLOps practices including version control, model monitoring, and deployment processes.\nExperience or exposure to AI/GenAI solutions using LLMs, NLP, or related technologies to solve complex business problems.\nExperience working with large-scale customer, transaction, sales, or operational datasets.\nExperience with experimentation, A/B testing, uplift analysis, or impact measurement is highly desirable.\nStrong stakeholder management, communication, and problem-solving skills with the ability to translate business challenges into analytical approaches.\nFinancial Services, Payments, FinTech, Banking, or related industry experience is preferred.\nWhat you’ll bring\nIndependently design, train, tune, evaluate, deploy, and maintain machine learning models in production environments.\n Lead the end-to-end lifecycle of machine learning models including problem definition, exploratory data analysis (EDA), feature engineering, validation, monitoring, and optimization.\nDevelop predictive models for attrition, cross-sell propensity, dormancy prediction, Next Best Action recommendations, portfolio compression, customer segmentation, and customer value optimization.\nDesign and deploy AI-powered solutions leveraging GenAI, LLMs, NLP, and call listening/conversational intelligence to identify customer sentiment, churn risk indicators, and growth opportunities.\nPartner closely with cross-functional teams including Portfolio Management & Customer Success, Product, Sales, Marketing, Finance, BI, Data Engineering, and MLOps to source, validate, engineer, and operationalize data assets and model features.\nTranslate complex business challenges into scalable analytical solutions, data pipelines, and decision-support tools that enable proactive portfolio management.\nDrive model performance monitoring, retraining, and continuous improvement using production data and business outcomes while aligning with enterprise data governance standards.\nCommunicate actionable insights, recommendations, and model outcomes clearly to business and senior leadership teams to measure, track, and quantify business impact.\nEvaluate emerging AI technologies and establish scalable best practices across analytics use cases.\n Drive alignment across global stakeholders to ensure successful implementation, model adoption, and alignment with strategic objectives.","description_format":"text","description_chars":3686,"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":["Growth opportunities"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Cards & Card Issuing","Payment Processing 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