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

AI Engineer

Houston, TX · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Seismic Imaging Analyst

Houston, TX · Hybrid

$90K - $105K/yr

... data company that pushes the boundaries of science for a more prosperous and sustainable future ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

... entry-level Petroleum Engineers in the following potential locations * Houston, Texas * Midland ... data scientists, and / or software developers. Petroleum engineers develop technical skills in ...

This entry-level engineering role contributes to the development and continuous improvement of ... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ...

Showing results 41-60

Entry Level Data Scientist information

See Spring, TX salary details

$38.9K

$139.7K

$206.1K

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

As of Sep 14, 2026, the average yearly pay for entry level data scientist in Spring, TX is $139,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $143,900.00 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 are popular job titles related to Entry Level Data Scientist jobs in Spring, TX?

For Entry Level Data Scientist jobs in Spring, TX, the most frequently searched job titles 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 September 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 $139,676 per year, or $67.2 per hour.

GenAI Python Systems Engineer - Senior Associate

Houston, TX • On-site

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Design and optimize algorithms and models to enhance intelligent decision-making and automation

  • Develop and implement advanced AI and machine learning solutions to drive innovation in business processes

  • Transform raw data into actionable insights to support informed decision-making and business growth


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.
Responsibilities
- Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
- Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Leveraging advanced technologies and techniques to design robust data solutions for clients
- Utilizing Python and machine learning libraries to build scalable AI systems
- Conducting complex data analysis to identify trends and inform strategic recommendations
- Collaborating with cross-functional teams to address data challenges and improve data quality
- Building meaningful client connections and managing stakeholder expectations effectively
- Navigating complex situations to deliver quality solutions and grow personal skills
- Upholding professional and technical standards in alignment with firm guidelines and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Utilizing Python programming for AI-driven automation solutions
- Implementing machine learning libraries and NLP techniques
- Analyzing complex data to generate actionable insights
- Navigating ambiguity while maintaining client-focused solutions
- Developing meaningful client relationships through effective communication

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK