ZipRecruiter

Log In

1

Trainee Data Science Jobs in Texas (NOW HIRING)

next page

Showing results 1-20

All JobsData Science JobsTrainee Data Science JobsTrainee Data Science Jobs in Texas

Trainee Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do trainee data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for trainee data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

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

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

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

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

What are the most commonly searched types of Data Science jobs in Texas?

The most popular types of Data Science jobs in Texas are:

What are popular job titles related to Trainee Data Science jobs in Texas?

For Trainee Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Texas look for?

The top searched job categories for Trainee Data Science jobs in Texas are:

What cities in Texas are hiring for Trainee Data Science jobs?

Cities in Texas with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Entry Level AI/Data Analyst

Austin, TX • On-site

PCS Global Tech
IT Services • 501 - 1,000 employees
Learn more about PCS Global Techexternal

Other

Posted 5 days ago

Job description

Your fast track to Tech Consulting.

A trainee-to-hire experience for STEM graduates.

Step off the campus. Step into a career.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, AI, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement


Apply