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

Data Scientist

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

New

Job Purpose We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Job Purpose We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve ...

Senior Data Scientist Houston, TX Description: We are looking for a candidate with the ability to translate a business question into a data science solution. This requires that you have next to your ...

AI Data Scientist

Spring, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

Data Scientist - Operations Research

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Scientist - Operations Research contributes to the development and clinical translation of advanced imaging, image analysis, and registration methods. The Data Scientist - Operations ...

Epidemiologist Data Scientist

Houston, TX

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

Lead Data Scientist Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA Workplace Type: Remote Req Id: 2289 Responsibilities Octave's ETQ division is seeking a ...

Epidemiologist Data Scientist

Houston, TX · On-site

$80 - $133/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & AnalysisTravel Required:Up to 10%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

New

Showing results 21-40

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 19, 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.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Company Description

At IPT Global, we're pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.

We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.

If you want to work in an environment that values growth, innovation, and teamwork - we'd love to meet you.

Job Description
  • Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
  • Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
  • Evaluate, improve, and invent analysis methods to be used in IPT Global's suite of well integrity solutions
  • Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
  • Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
  • Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
  • Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
  • Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
  • Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
  • Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
  • Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
  • All other assigned duties
Qualifications

REQUIREMENTS

  • Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related discipline with demonstrated research capability
  • 3 years of direct work experience in a data related field
  • Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization
  • Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras)

PREFERRED SKILLS

  • 5+ years of relevant work experience, including expertise with statistical data analysis
  • Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naive Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
  • Experience in predictive and prescriptive modeling, including model training and validation
  • Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
  • Familiarity with C#, virtual machines / containers
  • History of generating technical documents and publications
  • Experience in the oil and gas industry, especially operations, and understanding of industry common terminology
Additional Information
  • Location: Houston, Texas 

  • Employment Type: Full-time, flexible schedule 
  • Compensation: Competitive compensation commensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).

  • Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry's drive toward safety, efficiency, and innovation.