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Internship Machine Learning Finance Jobs in Oklahoma

Strayos

$13 - $17.50/hr

... internship opportunity ... Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · On-site

Summary We're looking for a Machine Learning Engineer to design, deploy, and operate production ML ... Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Then come join the Finance Leadership Development Program (FLDP)! The Finance Leadership ... This internship/co-op is a structured experiential learning program for individuals currently ...

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All JobsMachine Learning Finance JobsInternship Machine Learning Finance JobsInternship Machine Learning Finance Jobs in Oklahoma

Internship Machine Learning Finance information

What is an internship machine learning finance?

Internship Machine Learning Finance positions are temporary roles where students or recent graduates work with financial organizations to apply machine learning techniques to solve finance-related problems. Interns may analyze large datasets, build predictive models, automate trading strategies, or detect fraud using machine learning algorithms. These internships provide hands-on experience in both finance and artificial intelligence, helping interns develop technical and industry-specific skills. They often require a background in programming, statistics, and a basic understanding of financial concepts.

What types of projects do interns typically work on in a machine learning finance internship?

As a Machine Learning Finance intern, you can expect to work on a variety of projects that blend quantitative analysis with practical financial applications. Common responsibilities include developing predictive models for stock prices or credit risk, analyzing large financial datasets, and building tools to automate trading strategies or detect fraud. Interns often collaborate closely with data scientists, software engineers, and finance professionals, gaining exposure to both technical and business aspects of the field. This hands-on experience is invaluable for building real-world skills and understanding the fast-paced finance environment.

What are the key skills and qualifications needed to thrive as an intern in machine learning finance, and why are they important?

To thrive as an Intern in Machine Learning Finance, you need a foundational understanding of statistics, programming (especially Python or R), and financial concepts, often supported by progress toward a quantitative degree. Familiarity with machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), data analysis tools, and version control systems like Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you translate technical results into actionable financial insights. These skills are critical for developing robust models, supporting data-driven decision-making, and contributing meaningfully within interdisciplinary finance teams.

What is the difference between Internship Machine Learning Finance vs Data Analyst Intern?

AspectInternship Machine Learning FinanceData Analyst Intern
Required SkillsProgramming (Python, R), Machine Learning, Finance knowledgeData analysis, SQL, Excel, basic statistics
Work EnvironmentFinance firms, tech-driven finance teamsFinancial institutions, consulting firms, tech companies
Industry UsageFinance, Fintech, Quantitative researchFinance, marketing, consulting

Internship Machine Learning Finance focuses on applying machine learning techniques to financial data, requiring programming and finance knowledge. Data Analyst Internships involve analyzing data sets, creating reports, and using statistical tools. Both roles are common in finance-related industries but differ in technical focus and skill requirements.

What are the most commonly searched types of Machine Learning Finance jobs in Oklahoma?

The most popular types of Machine Learning Finance jobs in Oklahoma are:

What are popular job titles related to Internship Machine Learning Finance jobs in Oklahoma?

For Internship Machine Learning Finance jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Finance jobs in Oklahoma look for?

The top searched job categories for Internship Machine Learning Finance jobs in Oklahoma are:

Internship Machine Learning Finance jobs near you

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 17 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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