Data Scientist – Visa Consulting, Analytics

🕒 June 27

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Visa

WebsiteLinkedInAll Job Openings

10,000+ employees

💳 Fintech

💸 Finance

🏦 Banking

💰 Post IPO equity on 2016-10

Fintech • Finance • Banking

Visa is a global payments technology company that connects consumers, merchants, financial institutions and governments to enable electronic payments and commerce. It operates a worldwide card network for credit, debit and prepaid payments and provides payment processing, security and fraud-mitigation services, data analytics and value-added products for both consumers and businesses. Visa invests in next-generation payment solutions (including AI-driven commerce), supports financial inclusion initiatives through the Visa Foundation, and offers consumer card benefits and merchant services.

📋 Description

• Execute and deliver data analytics projects for the Visa client • Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc. • Act as analytics advocate within our partners, advising teams and sharing best practices and case studies. • Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure. • Explore leading methodologies, best practices and import successful methodologies from other international markets • Effectively interact with clients and manage internal/external stakeholder communication

🎯 Requirements

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience • Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent • Minimum 3+ years of analytics experience in applying statistical solutions to business problems • Experience in credit card analytics, and/or retail banking analytics • Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive • Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically • Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint • Self-motivated, results oriented individual with ability to handle multiple projects concurrently • Experience in working closely with data science community

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events