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Data Science intern

DEUNA

DEUNAdeuna.com

Data Science intern

Posted 3 weeks ago

About the job

DEUNA is a fast-growing startup revolutionizing global commerce with ATHIA, an AI-powered platform that enhances payments, approval rates, and reduces costs for enterprises worldwide.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree
  • Interest in data analysis and modeling
  • Curious and motivated learner
  • Team collaboration skills

Qualifications

  • Pursuing degree in CS, Data Science, or related
  • Strong analytical skills
  • Excellent communication abilities

Full job description

About DEUNA 🧡

DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.

With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico’s digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.

We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments! 🚀

Visit https://www.deuna.com/ to learn more about us!


We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.

    • Qualifications

    Required

  • Currently pursuing a Bachelor’s or Master’s degree in:
  • Computer Science
  • Data Science
  • Statistics
  • Mathematics
  • Engineering
  • Economics
  • Physics
  • Or a related quantitative field.

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