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Data Scientist Intern Jobs in Spring, TX (NOW HIRING)

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ... Chevron? * You work on real projects, not side tasks * You use modern tools and cloud platforms

Overview Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and ...

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization Overview The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to help design ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

The Data Scientist plays a key role in advancing digital innovation by developing data-driven models and insights that support operational efficiency, asset optimization, and strategic decision ...

Title: Lead Data Scientist Location: Houston, TX Job Type: Permanent Full Time Job Mode: 100% Onsite Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION INSURANCE/ LIFE INSURANCE/ RETIREMENT ...

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

Showing results 41-60

Data Scientist Intern information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do data scientist intern jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data scientist intern in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a data scientist intern?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What types of projects and tasks can I expect to work on as a data scientist intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

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

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Spring, TX?

The most popular types of Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Scientist Intern jobs?

Cities near Spring, TX with the most Data Scientist Intern job openings:

Infographic showing various Data Scientist Intern job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

$56K - $56K/yr

Full-time

Re-posted 8 days ago


Texas Children's Hospital rating

8.3

Company rating: 8.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

73rd of 1,062 rated hospitals


Job description

Join a team that's using data, AI, and advanced analytics to shape the future of healthcare. As an Associate Data Scientist, you'll leverage analytics, machine learning, and AI to solve complex healthcare and operational challenges. Working in a collaborative, multidisciplinary environment, you'll build innovative solutions, uncover strategic insights, and help drive better outcomes for patients, providers, and the organization. This is an exciting opportunity to apply cutting-edge technologies, tackle meaningful challenges, and make a measurable impact every day.
Think you've got what it takes?
Job Duties & Responsibilities
    Partner with clinical teams, operational leaders, and subject matter experts to understand challenges and develop data-driven solutions.
    Prepare, validate, and transform data to ensure high-quality analyses and models.
    Apply statistical, machine learning, and AI techniques to solve healthcare and business problems.
    Develop, test, and optimize predictive models and analytical algorithms.
    Design and enhance model features to improve accuracy, reliability, and performance.
    Identify opportunities to improve patient care, hospital operations, and organizational outcomes through analytics.
    Translate complex analyses into actionable insights and recommendations for technical and non-technical audiences.
    Create compelling data visualizations, dashboards, and presentations that communicate findings effectively.
    Present analytical findings and recommendations to stakeholders to support informed decision-making.
    Manage priorities, communicate project status, and proactively address risks and issues.
    Collaborate within Agile teams to deliver innovative analytics and AI solutions.
Skills & Requirements
    Master's degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.) required.
    1 year experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning preferred.

Note: We do not support sponsorship now or in future for this role
 

Since 1954, Texas Children's has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children's hospital in Texas, and among the top in the nation by U.S. News & World Report as well as recognition from Houston Business Journal as one of this city's Best Places to Work for ten consecutive years. 

Texas Children's comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Tower for pediatric research; Texas Children's Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children's Hospital West Campus, a community hospital in suburban West Houston; Texas Children's Hospital The Woodlands, the first hospital devoted to children's care for communities north of Houston; and Texas Children's Hospital North Austin, the new state-of-the-art facility providing world-class pediatric and maternal care to Austin and Central Texas families. We have also created Texas Children's Health Plan, the nation's first HMO focused on children; Texas Children's Pediatrics, the largest pediatric primary care network in the country; Texas Children's Urgent Care clinics that specialize in after-hours care tailored specifically for children; and a global health program that is channeling care to children and women all over the world. Texas Children's Hospital is affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation. 

 To join our community of 15,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.

 Texas Children's is proud to be an equal opportunity employer. All applicants and employees are considered and evaluated for positions at Texas Children's without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, gender identity, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.


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