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Data Science Analyst Intern Jobs in Houston, TX (NOW HIRING)

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Sugar Land, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

This role requires a strong foundation in data analytics with a good understanding of data science, data engineering, and data modeling skills. Essential Functions * Collaborate with business ...

Digital Analyst Internships

The Woodlands, TX · On-site

$90K - $106K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Digital Analyst Internships

Houston, TX · On-site

$94K - $111K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

... data scientists, and/or software developers. Earth Scientists develop technical skills in ... Geologists with specialties such as basin modeling, basin analysis, stratigraphy, structural ...

Lead AI and Data Science Engineer II

Houston, TX · On-site

$97K - $128K/yr

Analytics & Data Science * Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to ...

You will develop efficient and accurate analytical models which mimic business decisions and ... Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise ...

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Data Science Analyst Intern information

See Houston, TX salary details

$11

$21

$40

How much do data science analyst intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data science analyst intern in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

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

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What cities near Houston, TX are hiring for Data Science Analyst Intern jobs? Cities near Houston, TX with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 3 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants


Job description

Job Summary:
McKinsey & Company is a global consulting firm that focuses on driving lasting impact and building long-term capabilities for clients. As an OptimusAI Senior Data Science Analyst, you will work with leading companies in the Energy and Materials sector to enhance their productivity using AI, collaborating with a multi-disciplinary team to develop innovative products and algorithms.
Responsibilities:
• Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity.
• You will be working side-by-side with the client’s process engineers and analytics specialists and will be communicating your work to executive audiences.
• Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs.
• You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
• You will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts.
• You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment.
• You can seize the opportunity to travel to client sites, locally and around the world.
Qualifications:
Required:
• Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
• 3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
• Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
• Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
• Excellent problem-solving skills paired with the ability to develop creative and effective solutions
• Ability to thrive in a flexible, multi-disciplinary and agile working environment
• Track record of completing projects successfully on time as per scope
• Willingness to travel to other offices and/or client locations for short/long term assignments
• Strong interpersonal communication skills; experience in facilitating discussions with leadership
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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