Data Science Intern, Credit Modeling

🔥 19 hours ago

🇧🇷 Brazil – Remote

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 10%

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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Equifax

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

🔒 Cybersecurity

💰 $1M Post-IPO Equity on 2009-09

Finance • Fintech • Cybersecurity

Equifax is a global data, analytics, and technology company that plays a crucial role in the economy by providing risk modeling, credit reporting, identity protection, and other services to financial institutions, employers, and government entities. With a headquarters in Atlanta and nearly 15,000 employees worldwide, Equifax operates in 24 countries and leverages a unique combination of differentiated data, analytics, cloud technology, and artificial intelligence to empower critical decision-making for its clients.

📋 Description

• Support Data Science and Predictive Modeling initiatives • Create and develop Machine Learning models for the credit lifecycle • Conduct data analyses and develop customized and market-based solutions • Engage with clients and internal teams to understand requirements • Communicate model results • Collaborate in a dynamic environment, contributing across shared strategic initiatives

🎯 Requirements

• Currently pursuing a degree in Statistics, Data Science, Computer Science, Engineering, or a related field • Previous experience with Python or R • Knowledge of Machine Learning concepts • Strong communication and presentation skills • Proactive mindset • Strong interpersonal and client relationship skills • Familiarity with the credit lifecycle or previous experience in projects or consulting engagements in the field is a plus