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Amazon Data Science Internship Jobs in Austin, TX

Crowe LLP

Machine Learning Intern

Austin, TX

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon ...

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How much do amazon data science internship jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for amazon data science internship in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

How hard is it to get into an Amazon Data Science Internship?

Getting into an Amazon Data Science Internship is competitive, often requiring strong academic performance, relevant technical skills in programming and statistics, and prior experience with data analysis or machine learning. Candidates typically need to demonstrate proficiency in tools like Python or R and have a solid understanding of data-driven problem solving.

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Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in Austin, TX as of August 2026, with employment types broken down into 22% Internship, 58% Full Time, 14% Part Time, 2% Temporary, 2% Contract, and 2% Summer. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Data Science Intern - Summer 2027

Austin, TX • On-site

WhiteWater Midstream
See more jobs at WhiteWater Midstreamexternal

Temporary, Internship

Posted 5 days ago

Job description

WWM Logistics, LLC is seeking a Data Science Intern to support its natural gas trading desk. This role sits at the intersection of daily market reporting and deeper quantitative analysis, providing traders with the timely fundamental data they need to evaluate supply and demand, while also partnering with the Data Scientist and Strategist on model development aimed at generating trading signals. This is an ideal opportunity for a detail-oriented, quantitatively skilled early-career professional looking to build a career in commodity trading and market analytics.
This role is the natural next step for graduates of WWM's Natural Gas Analyst / Data Science Internship. Completion of the internship is valued but not required - we also hire directly into this role.
Responsibilities:
Daily Fundamentals Reporting
  • Build, maintain, and deliver standardized daily reports summarizing natural gas supply and demand fundamentals (production, storage, weather-driven demand, pipeline flows, rig counts) used directly by traders to inform positioning
  • Own the rollout of these standardized reports and monitor them on an ongoing basis, troubleshooting data issues and refining processes to reduce manual turnaround time and improve reliability
  • Monitor and flag material shifts in fundamental data that could influence price movement, escalating findings to traders and senior analysts in real time
  • Maintain data integrity across multiple third-party and internal data sources (e.g., EIA, pipeline bulletin boards, weather services, production estimates)

Modeling & Analytics
  • Partner with the Data Scientist and Strategist to develop and refine quantitative models aimed at identifying trading signals from fundamental and market data
  • Support back-testing and validation of new analytical approaches, helping translate research into production-ready tools
  • Assist in building supply/demand balance models and scenario analyses across key basins and pipeline systems
  • Contribute to the automation and scaling of data pipelines that feed both daily reporting and longer-term research projects

Cross-Functional Support
  • Collaborate with traders to understand evolving information needs and adjust reporting/modeling priorities accordingly
  • Support ad hoc analysis requests tied to specific trading opportunities, contract structuring, or market events
  • Document methodologies and maintain clear version control across reporting and modeling tools

Qualifications:
Required
  • Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative field, preferably a May 2028 grad.
  • Working knowledge of SQL and Python or similar language for data analysis
  • Demonstrated interest in commodity markets, trading, or energy fundamentals (coursework, internships, trading simulations/competitions, or independent projects)
  • Excellent attention to detail and ability to manage recurring deliverables under time pressure
  • Strong written and verbal communication skills; ability to translate technical analysis for a trading audience
  • WhiteWater does not offer housing. Position is required to be in-office at our Austin location

Preferred
  • Prior completion of WWM's Data Science Internship, or equivalent internship experience in energy trading, fundamentals, or data analytics
  • Master's degree in Business, Finance, Economics, Mathematics, or a related quantitative field
  • Experience with data visualization tools (Power BI, Tableau)
  • Prior exposure to natural gas or broader energy markets
  • Experience with trading simulations, mock portfolios, or derivatives strategy
  • Ability to think critically and explain technical work to other colleagues

What Success Looks Like in the First Year:
  • Fully owns and continuously improves the daily fundamentals reporting suite, with traders relying on it as a core input to daily decision-making
  • Has contributed meaningfully to at least one modeling initiative alongside the Data Scientist/Strategist that has been incorporated into trading discussions
  • Demonstrates growing fluency in natural gas market structure, pipeline mechanics, and the specific basins/systems relevant to the desk's positions

Apply