ZipRecruiter

Log In

1

Internship Artificial Intelligence Finance Jobs in Spring, TX

Lamons

Business Intelligence Analyst

Houston, TX · On-site

$70 - $95/hr

Relevant internship, academic project, and hands‑on experience will be considered. This position ... Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence ...

Deloitte

Finance Strategy Senior Consultant

Houston, TX · On-site

$111K/yr

Evaluate finance technology solutions, including enterprise resource planning, enterprise performance management, cloud platforms, and artificial intelligence-enabled tools. * Analyze finance ...

RSM

Director, Finance Automation

Houston, TX · On-site

Artificial intelligence acumen and experience is required * Strong understanding of financial data ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

Deloitte

Finance Analytics & AI Manager

Houston, TX · On-site

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

next page

Showing results 1-20

All JobsArtificial Intelligence Finance JobsInternship Artificial Intelligence Finance JobsInternship Artificial Intelligence Finance Jobs in Spring, TX

Internship Artificial Intelligence Finance information

See Spring, TX salary details

$10

$17

$23

How much do internship artificial intelligence finance jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for internship artificial intelligence finance in Spring, TX is $17.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $19.90 per hour, depending on experience, location, and employer.

What is an internship in artificial intelligence finance?

An Internship in Artificial Intelligence Finance is a temporary position where students or recent graduates gain practical experience applying AI techniques within the finance industry. Interns may work on projects involving data analysis, algorithm development, risk modeling, or financial forecasting using machine learning and other AI tools. The goal is to help interns understand how AI transforms financial services, such as banking, investment management, and insurance. This hands-on experience often involves collaboration with professionals and can lead to full-time job opportunities in fintech or related fields.

What are the key skills and qualifications needed to thrive as an artificial intelligence finance intern?

To thrive as an Artificial Intelligence Finance Intern, you need a solid background in finance, statistics, and programming languages such as Python or R, often supported by coursework or a degree in a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or Scikit-learn), and financial modeling systems is highly advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with cross-functional teams. These competencies enable you to contribute valuable AI-driven insights that support financial decision-making and innovation.

What types of projects can I expect to work on during an artificial intelligence finance internship?

As an Artificial Intelligence Finance intern, you'll typically work on projects involving data analysis, algorithm development, or automation of financial processes. Common tasks include building predictive models for market trends, analyzing large financial datasets, and supporting the integration of AI tools within existing financial systems. You'll often collaborate with data scientists, financial analysts, and IT professionals, gaining exposure to the intersection of technology and finance. These experiences provide valuable skills and insights that can help you advance in both AI and finance careers.

What is the difference between Internship Artificial Intelligence Finance vs Internship Data Science Finance?

AspectInternship Artificial Intelligence FinanceInternship Data Science Finance
Required CredentialsBasic programming, knowledge of AI/ML concepts, relevant courseworkStatistics, programming, data analysis skills, relevant coursework
Work EnvironmentCollaborative teams focusing on AI models and algorithms in financeData analysis, modeling, and reporting in finance settings
Employer & Industry UsageTech firms, financial institutions integrating AI solutionsFinancial firms, consulting agencies analyzing financial data

Internship Artificial Intelligence Finance focuses on developing AI models and algorithms for financial applications, while Internship Data Science Finance emphasizes analyzing and interpreting financial data using statistical methods. Both roles require programming skills and relevant coursework, but AI internships are more centered on machine learning and AI techniques, whereas Data Science internships focus on data analysis and reporting.

What are popular job titles related to Internship Artificial Intelligence Finance jobs in Spring, TX?

For Internship Artificial Intelligence Finance jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Internship Artificial Intelligence Finance jobs in Spring, TX look for?

The top searched job categories for Internship Artificial Intelligence Finance jobs in Spring, TX are:

What cities near Spring, TX are hiring for Internship Artificial Intelligence Finance jobs?

Cities near Spring, TX with the most Internship Artificial Intelligence Finance job openings:

Internship Artificial Intelligence Finance jobs near you

Artificial Intelligence (AI) Engineer

Houston, TX • On-site

GSI Environmental Inc.
See more jobs at GSI Environmental Inc.external

Other

Re-posted 8 days ago

Job description

Position Overview
GSI Environmental Inc. (GSI) seeks a highly innovative AI Engineer to join our growing team and help how artificial intelligence, automation, and modern business systems shape the way our firm operates. In this role, you will design and deliver AI-powered applications, automations, dashboards, and data-driven tools that boost productivity across every part of the organization.
You'll partner closely with both our technical project teams and corporate departments to find where emerging technology can simplify workflows, sharpen decision-making, and eliminate repetitive manual tasks. This role will provide a rare opportunity to build a function from the ground up, harnessing the power of AI to help solve complex environmental problems.
About Us
We are a privately held, employee-owned company offering superior compensation, benefits, and professional development. GSI is highly respected nationally and internationally for the quality of its professional environmental services and the technically advanced projects it has completed over its 40 years of operation. GSI leadership promotes a collaborative, fun, and growth-oriented workplace, resulting in strong staff retention and high client satisfaction.
GSI employs cross-disciplinary teams of environmental engineers and scientists focused on bringing innovative solutions to our clients' toughest environmental challenges pertaining to water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and critical minerals production. Headquartered in Houston, Texas, GSI operates 13 offices across nine states, Texas, California, Colorado, Washington, Montana, Georgia, North Carolina, Virginia, and New York, with additional remote staff located throughout the United States. Our talented staff of environmental professionals performs projects nationwide and internationally.
Key Responsibilities
AI & Application Development
  • Design, develop, and deploy AI-powered applications, assistants, and workflows that solve real business and environmental problems.
  • Develop custom internal software, portals, and applications that improve operational efficiency.
  • Evaluate new AI platforms, large language models (LLMs), and automation technologies, and rapidly prototype high-value use cases.

Data, Analytics & Integration
  • Build dashboards and business intelligence tools that deliver actionable insight to leadership and project teams.
  • Integrate business and technical systems through APIs, databases, and cloud services.
  • Support data management, reporting, and analytics initiatives-including work with scientific, financial, and regulatory data.

Automation & Enablement
  • Create automated workflows that reduce manual effort and streamline business processes.
  • Train and support employees in adopting new AI tools, and champion a culture of practical, responsible AI use.

Governance & Strategy
  • Develop AI governance standards and best practices that ensure secure, ethical, and responsible use of emerging technologies-particularly important given GSI's confidential client, litigation, and government project data.
  • Partner with IT and leadership to establish a long-term technology and innovation roadmap.
Location
This position is preferably based at or near one of GSI's offices, with our Houston headquarters as the ideal location. Hybrid or remote arrangements will be considered for exceptionally qualified candidates.
Qualifications/Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.
  • Ability to develop software applications, automation tools, business intelligence solutions, or AI-enabled technologies.
  • Hands-on experience with Generative AI, LLMs, AI agents, or machine learning technologies.
  • Strong programming skills in Python, SQL, JavaScript, C#, or similar languages.
  • Experience building dashboards and analytics with Power BI, Tableau, or comparable platforms.
  • Experience integrating systems via APIs, databases, and cloud technologies.
  • Strong grasp of data architecture, security, governance, and software development best practices.
  • Proven ability to translate complex business problems into practical technology solutions.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) or similar low-code tools-GSI is a Microsoft 365 environment.
  • Experience building LLM/RAG applications, document automation, or AI assistants for knowledge work.
  • A passion for continuous learning and staying current with rapidly evolving AI technologies.
  • A passion for the environment is a strong plus!

Apply