Talantix.io
Experian•22.02.26
AI SCORE 8.5

Data Science Summer Intern - Remote

$30K–$40K/year
RemoteData Analysis
Python•R•Java•C++•C•Machine Learning•Data Mining•Predictive Modeling•Quantum Computing

About the Role

Join Experian as a Data Science Summer Intern - Remote, where you will be part of our innovative R&D Lab. This internship offers a unique opportunity to work on real-world challenges and develop analytical solutions using advanced technologies, including Quantum Computing. As a Data Science Summer Intern, you will apply machine learning, data mining, and text mining techniques to tackle complex problems and enhance your skills in analytics and data science.

What You'll Do

  • Develop analytical solutions using advanced technologies, including Quantum Computing.
  • Work on hands-on projects that address real-world challenges in data science.
  • Apply machine learning, data mining, and text mining techniques to extract insights from data.
  • Design data structures for efficient handling and processing of large datasets.
  • Explore Quantum Computing applications across various sectors and industries.
  • Conduct ROI and benefit analysis to evaluate the effectiveness of models.
  • Document and present model processes and performance to stakeholders.
  • Collaborate with a diverse team in a fully remote environment.

Requirements

  • Currently enrolled in a PhD program in Computer Science, Physics, or a related field.
  • Must return to school in Fall 2026.
  • Experience in analytics, data mining, or predictive modeling is essential.
  • Familiarity with regression, Neural Networks, or ensemble methods is preferred.
  • Proficient in programming languages such as Python, R, Java, C++, or C.
  • Experience with Generative AI and Quantum Computing applications is a plus.

Nice to Have

  • Previous internship experience in data science or analytics.
  • Strong problem-solving skills and analytical thinking.
  • Ability to work independently and as part of a team.

What We Offer

  • Fully remote work environment, allowing flexibility in your schedule.
  • Volunteer Time Off to support community engagement.
  • Competitive compensation package for interns.
  • Flexible work schedule to accommodate your academic commitments.
  • Eligibility for 401(k) participation after 90 days of employment.
Why This Job8.5 of 10

This Data Science Summer Intern position at Experian offers a unique opportunity to work remotely on cutting-edge projects in data science and Quantum Computing.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and R for data manipulation and analysis, with a strong grasp of libraries like Pandas and Scikit-learn, which are essential for machine learning projects.

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Self-motivated and adaptable mindset suited for remote work, able to manage time effectively and stay productive without direct supervision in a fast-paced R&D environment.

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Hands-on experience with predictive modeling and a passion for exploring emerging technologies such as Quantum Computing, demonstrating a willingness to learn and innovate in data science.

Learning Resources

→Python for Data Science Handbookguide
→Introduction to Machine Learning with Pythoncourse
→The Elements of Statistical Learningbook

Career Path

Data Science Summer Intern - Remote(Now)→Data Analyst(1-2 years)→Data Scientist(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
12.5%
AI Adoption
88%
Investment
+150%
Labour Demand
+25%
Avg Salary
$110K

Skills & Requirements

Required
PythonRJava
Growing in Demand
Deep LearningData VisualizationBig Data Technologies
Declining
MATLABSAS

Domain Trends

Rise of Automated Machine Learning (AutoML)
AutoML tools are expected to grow by 40% in adoption by 2025, streamlining the model development process for data scientists.
Increasing Use of Quantum Computing in Data Analysis
Quantum computing applications in data science are projected to increase by 30% annually, with major firms investing heavily in this area.
Shift Towards Cloud-Based Data Science Platforms
Cloud-based platforms for data science are set to grow by 35% by 2025, driven by the need for scalable and collaborative environments.

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