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Monday Friday Data Science Internships Jobs (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Associate Data Scientist

Burlington, NC · Hybrid

$49K - $49K/yr

... Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone.Business needs may ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics ...

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone.Business needs may ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

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Monday Friday Data Science Internships information

What is the difference between Monday Friday Data Science Internships vs Monday Friday Data Analyst Internships?

AspectMonday Friday Data Science InternshipsMonday Friday Data Analyst Internships
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fieldsUsually requires a degree in Statistics, Business, or related fields
Work EnvironmentFocuses on developing models, algorithms, and predictive analyticsCenters on interpreting data, creating reports, and supporting decision-making
Employer & Industry UsageUsed in tech, finance, and e-commerce sectors for advanced analyticsCommon in marketing, finance, and consulting firms for data reporting

While both internships involve working with data, Data Science Internships focus on building models and algorithms, whereas Data Analyst Internships emphasize data interpretation and reporting. Your choice depends on your skills and career goals in data roles.

More about Monday Friday Data Science Internships jobs
What cities are hiring for Monday Friday Data Science Internships jobs? Cities with the most Monday Friday Data Science Internships job openings:
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Data Science intern

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Posted 16 days ago


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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.