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Entry Level Data Scientist Jobs in Spring, TX (NOW HIRING)

Entry Level Technologist

Houston, TX ยท On-site

$24.25 - $33.50/hr

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

Lab Technician

Conroe, TX ยท On-site

$16.25 - $21.50/hr

We are seeking a detail-oriented and reliable Entry-Level Laboratory Technician to join our client ... In this role, you will support daily laboratory operations, assist scientists with routine testing ...

New

Key Responsibilities * Review P&ID drawings, equipment records, and asset data from capital ... Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 ...

Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Showing results 21-40

Entry Level Data Scientist information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do entry level data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level data scientist in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

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 job categories do people searching Entry Level Data Scientist jobs in Spring, TX look for?

The top searched job categories for Entry Level Data Scientist jobs in Spring, TX are:

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

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

Infographic showing various Entry Level Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $146,848 per year, or $70.6 per hour.

Deals - Diligence Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Houston, TX โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 7 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - Diligence Analytics Intern, you will engage in data analysis and support client-facing projects within our Advisory practice. This role offers a unique chance to immerse yourself in the world of data and analytics, where you will assist in gathering and analyzing data to provide valuable insights for our clients. You will be part of a dynamic team that guides clients towards sustainable growth and competitive advantage in today's dynamic market.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, all while observing professional work environments. This role emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to project goals.
In this role at PwC, you will have the opportunity to work on a variety of assignments, each presenting different challenges and scope. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This experience will pave the way for more opportunities as you start to establish your personal brand.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices
- Participating in the development of data-driven insights to assist client decision-making
- Conducting research and gathering information to enhance data analysis processes
- Assisting in the creation and maintenance of data visualization dashboards
- Engaging in algorithm development to solve analytical problems
- Utilizing tools like Alteryx and Power BI for data processing and visualization
- Collaborating with team members to integrate data from various sources
- Applying data mining techniques to identify patterns and trends in large datasets
- Contributing to the preparation of analytical reports and presentations
- Observing and learning from experienced professionals to develop personal skills and knowledge
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from PwC's advisory consultants in dynamic markets
- Developing skills in data science and artificial intelligence applications

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.