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Data Science Intern Jobs in Austin, TX (NOW HIRING)

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

Lead Data Scientist

Austin, TX · On-site

$120 - $170/hr

Serve as the principal technical lead on significant data science projects. Determine the analytical methods, techniques, and evaluation criteria required to achieve successful project outcomes.

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...

Showing results 41-60

Data Science Intern information

See Austin, TX salary details

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How much do data science intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science intern 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 types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Austin, TX? The most popular types of Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Science Intern jobs? Cities near Austin, TX with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Data Scientist, Consultant (Utilities)

Guidehouse

Austin, TX • On-site

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do

  • Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics platforms to address complex client business challenges.

  • Partner with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations.
  • Design, develop, test, and implement data, analytics, and AI-enabled solutions that support utility clients' business objectives.
  • Translate business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools.
  • Present findings and recommendations to technical and non-technical audiences, helping clients gain confidence in data-driven decisions.

What You Will Need

  • Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline

  • ONE (1) or more years of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems

  • Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.

  • Experience working with large and complex datasets and developing analytical solutions from concept through implementation.

What Would Be Nice To Have

  • Experience supporting electric, gas, water, or other energy-sector organizations.

  • Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations.

  • Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams.

  • Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, regulatory planning.

  • Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.

  • Experience developing dashboards, data products, or decision-support applications for business users.

  • Experience working in a consulting or client-facing environment.

  • Master's degree or relevant certifications in analytics, cloud technologies, or data engineering.

The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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