{"id":3559990,"url":"https://alion.io/job/teamplus-staffing-solution-sr-data-scientist-fintech","title":"Sr. Data Scientist – Fintech","company":{"id":3800595,"name":"TeamPlus Staffing Solution","domain":"teamplusindia.in","url":"https://alion.io/company/teamplus-staffing-solution","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Microsoft Excel","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-28T04:42:51Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T05:43:41Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Experience\n8+ Years\n\nIndustry\nFintech / Card Payments / Retail Banking\n\nWe are seeking an experienced Sr. Data Scientist with strong expertise in Card Payments / Retail Banking, Machine Learning, and end-to-end analytics project delivery.\nThe candidate will drive analytics-driven strategies, develop scalable machine learning solutions, and deliver actionable business insights for banking and payments clients.\nKey Responsibilities\nLead and deliver end-to-end data science and analytics projects.\nDevelop and implement machine learning models for banking and payment analytics.\nDrive credit card portfolio strategies using customer, transaction, and third-party data.\nPerform data cleaning, wrangling, feature engineering, feature selection, and predictive modelling.\nDefine project scope, analytical methodologies, and solution frameworks.\nTranslate complex analytical findings into actionable business recommendations.\nCollaborate with business stakeholders and clients to identify analytics opportunities.\nExplore new data sources, advanced modelling techniques, and innovative analytical solutions.\nPresent insights through effective data storytelling and business presentations.\nMandatory Skills\nDomain Experience: Hands-on experience in Credit Cards, Card Payments, or Retail Banking.\nMachine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest and predictive modelling.\nProgramming: Strong hands-on experience in Python and SQL.\nBig Data / Analytics: Experience with PySpark, Hadoop, Hive, or similar technologies.\nEnd-to-End Data Science: Data preparation, feature engineering, model development, validation, deployment and scaling.\nBusiness Analytics: Experience developing analytical strategies and delivering measurable business outcomes.\n Communication: Strong presentation, stakeholder management and data storytelling skills.\nPreferred Skills\nCredit card portfolio analytics and customer behaviour analysis.\nPayment transaction analytics and financial services data.\nTableau, MS Excel and PowerPoint.\nExperience 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