{"id":2168518,"url":"https://alion.io/job/visa-sr-data-scientist-3","title":"Sr. Data Scientist","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":150,"ghost_share":0,"stale_share":0.567,"repost_share":0.027,"time_to_fill_p50_days":26,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":27000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-09T10:57:13Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T15:43:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nJob Summary\nVisa's CEMEA Internal Data & Analytics team is seeking a highly motivated Data Science Manager to develop and scale AI-enabled products, analytics platforms and self-service decision-support capabilities that empower business teams across CEMEA.\nThis role sits at the intersection of Data Science, Software Engineering, GenAI and Business Analytics. The successful candidate will partner closely with business stakeholders to build scalable solutions that transform data into actionable insights, automate decision-making workflows and accelerate adoption of AI across the organization.\nKey Responsibilities\nAI Products & Agentic Solutions\nDesign, develop and deploy AI-powered business applications and self-service analytics products.\nBuild agentic AI solutions leveraging LLMs, GenAI platforms and conversational interfaces.\nDevelop AI-enabled decision support tools that drive measurable business outcomes.\nOwn the product lifecycle from ideation through deployment and adoption.\nData Science & Advanced Analytics\nBuild predictive models, optimization solutions and recommendation engines.\nApply machine learning, statistical modelling and experimentation techniques to solve business problems.\nTranslate complex business challenges into scalable analytics and AI solutions.\nDeliver measurable business impact through data-driven decision making.\nData Democratization & Analytics Platforms\nEnhance and expand IRIS capabilities and broader Project LEGO initiatives.\nBuild self-service analytics solutions that reduce reliance on manual reporting.\nDevelop reusable data products, analytical assets and business intelligence solutions.\nEnable business users to access trusted insights through modern analytics experiences.\nEngineering & Solution Development\nDevelop production-grade applications using Python and modern development frameworks.\nBuild APIs, backend services and scalable analytical workflows.\nSupport cloud migration and modernization initiatives.\nApply software engineering best practices including version control, testing and deployment automation.\nStakeholder Engagement\nPartner directly with leaders across Marketing, Cross-Border, Products, Compliance, Corporate Communications and other business functions.\nGather requirements, prioritize opportunities and communicate insights effectively.\nAct as a trusted advisor on analytics, AI and data-driven decision making.\nWhat Success Looks Like\nBuild scalable AI products with measurable business impact.\nIncrease adoption of self-service analytics and data democratization capabilities.\nReduce manual reporting effort through automation and AI.\nDeliver high-quality products independently with minimal oversight.\nContribute reusable assets and accelerators to the CEMEA Data Science Hub.\nEstablish trusted partnerships with business stakeholders and internal teams.\nRole Type: Individual Contributor (Hands-on Development & Product Delivery Role)\nPeople Management Responsibility: None. This role is expected to personally design, build and deploy solutions rather than manage a team.\nThis is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications\nBachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related discipline.\n5+ years of experience in Data Science, Analytics, Machine Learning or AI-related roles.\nStrong proficiency in Python and SQL.\nStrong analytical, problem-solving and communication skills.\nExperience delivering end-to-end analytical or AI solutions.\nPreferred Qualifications\nExperience developing GenAI, agentic AI or LLM-based applications.\nExperience with FastAPI, React or modern application frameworks.\nExperience building self-service analytics or data products.\nExperience with cloud platforms and modern data architectures.\nExperience working directly with business stakeholders and senior leaders.\nExperience operating independently in a fast-paced environment.\nTechnical Skills\nPython\nSQL\nMachine Learning\nGenerative AI / LLMs\nFastAPI\nReact\nLangChain or Agentic Frameworks\nCloud Platforms\nGit / CI-CD\nData Visualization & BI Tools\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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