Data Scientist Intern

Mastercard

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Quick summary

Work type
On-site
Location
O Fallon, MO
Employment
Intern
Posted
5 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $172k
$97k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $126,787–$217,912.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

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At a glance

TL;DR · Data Scientist Intern

Data Scientist Intern, Summer 2027 – St. Louis, MO, US will join the AI Ops team to apply machine learning and data science techniques for anomaly detection, impact prediction, and remediation. The intern will work with operations data to create dashboards, reports, and alerts that help stakeholders make data-driven decisions regarding planning, troubleshooting, and monitoring application health. Key responsibilities include performing ETL development, managing data integration, and utilizing database technologies. The role requires proficiency with Databricks and AWS cloud services, along with hands-on experience delivering machine learning projects and solutions. Candidates should also possess experience building, deploying, or supporting AI agents and agent-based applications. This position focuses on the technical challenge of transforming raw operational data into actionable insights to maintain system health and improve organizational decision-making processes through advanced automated intelligence.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Apply machine learning techniques to detect anomalies and predict impacts within operations data.
  • Create dashboards, reports, and alerts to help stakeholders make data-driven decisions.
  • Develop ETL processes and integrate data using various database technologies.
  • Utilize Databricks and AWS cloud services to manage and process data.
  • Build, deploy, and support AI agents and agent-based applications.
  • Deliver machine learning projects and solutions to improve application health monitoring.

What we're looking for

  • Must be currently enrolled in a Bachelor's degree in Data Science or a related field.
  • Anticipated graduation date must be between December 2027 and June 2028.
  • Experience with ETL development, data integration, and database technologies is required.
  • Proficiency with Databricks and AWS cloud services is required.
  • Must have hands-on experience delivering machine learning projects and solutions.
  • Experience building, deploying, or supporting AI agents and agent-based applications is required.
  • Prior internship experience developing and/or deploying AI agents is preferred.
  • Work authorization.

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