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Recent Math Graduate Jobs in Texas (NOW HIRING)

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

Whether you are a recent college graduate or an experienced sales professional, we welcome ... Strong math skills and the ability to learn technical product applications * Computer proficiency ...

Whether you are a recent college graduate or an experienced sales professional, we welcome ... Strong math skills and the ability to learn technical product applications * Computer proficiency ...

Clerk

Sugar Land, TX · On-site

$18 - $21/hr

Minimum 2+ years recent experience at a credit union or bank as a Teller, required. * Previous cash ... Use basic math skills and spell accurately up to a high school graduate level. * Capable of dealing ...

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Recent Math Graduate information

See Texas salary details

$21K

$54.8K

$88K

How much do recent math graduate jobs pay per year?

As of Jul 16, 2026, the average yearly pay for recent math graduate in Texas is $54,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $65,200.00 per year, depending on experience, location, and employer.

What can you do with a graduate degree in math?

A recent math graduate can pursue careers in data analysis, actuarial science, finance, research, teaching, or software development. These roles often require strong analytical, problem-solving, and technical skills, and may involve using tools like programming languages or statistical software.

Where do math graduates work?

Math graduates work in a variety of fields including finance, data analysis, research, education, and technology. They often apply skills in problem-solving, statistical analysis, and programming using tools like MATLAB, R, or Python in diverse work environments such as corporate offices, research labs, and educational institutions.

What is a Recent Math Graduate job?

A Recent Math Graduate job typically refers to entry-level roles suitable for individuals who have recently earned a degree in mathematics. These positions can be found in industries such as finance, data analysis, technology, education, and research. Common job titles include data analyst, actuarial assistant, financial analyst, or math tutor. Employers seek candidates with strong problem-solving skills, analytical thinking, and proficiency in mathematical modeling or programming. These roles provide an opportunity for graduates to apply their mathematical knowledge in real-world scenarios and build professional experience.

What types of entry-level roles are available to Recent Math Graduates, and how do these positions typically utilize mathematical skills?

Recent Math Graduates are often considered for positions such as data analyst, actuarial assistant, financial analyst, operations research assistant, or junior data scientist. In these roles, you'll use your mathematical training to analyze data, create forecasts, solve optimization problems, and support decision-making processes across industries like finance, technology, and research. You may be responsible for building statistical models, preparing reports, and collaborating with cross-functional teams to interpret quantitative results. These positions serve as excellent foundations for developing specialized expertise and building a successful career in quantitative fields.

What are the key skills and qualifications needed to thrive in the Recent Math Graduate position, and why are they important?

To thrive as a Recent Math Graduate, you need a strong understanding of mathematical concepts, analytical reasoning, and problem-solving skills, typically supported by a bachelor's degree in mathematics or a closely related field. Familiarity with tools such as Excel, MATLAB, Python, or statistical software is highly advantageous for practical data analysis and modeling tasks. Effective communication, teamwork, and the ability to adapt to new challenges are crucial soft skills that set successful candidates apart. These abilities help Recent Math Graduates contribute to diverse projects, translate complex numbers into actionable insights, and collaborate across various professional settings.

What jobs can I get with just a math degree?

A recent math graduate can pursue roles such as data analyst, actuary, financial analyst, operations researcher, or statistician, which often require strong analytical and problem-solving skills. These jobs typically involve working with data, models, or financial information and may require proficiency in software like Excel, R, or Python.

What job makes $1,000,000 a year?

A recent math graduate typically does not qualify for jobs that pay $1,000,000 annually; such high salaries are usually associated with executive roles, successful entrepreneurs, or highly specialized professionals in finance, technology, or investment banking. Achieving this level often requires extensive experience, advanced skills, and leadership positions beyond entry-level roles.
What are the most commonly searched types of Recent Math Graduate jobs in Texas? The most popular types of Recent Math Graduate jobs in Texas are:
What are popular job titles related to Recent Math Graduate jobs in Texas? For Recent Math Graduate jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Recent Math Graduate jobs in Texas look for? The top searched job categories for Recent Math Graduate jobs in Texas are:
What cities in Texas are hiring for Recent Math Graduate jobs? Cities in Texas with the most Recent Math Graduate job openings:
Infographic showing various Recent Math Graduate job openings in Texas as of July 2026, with employment types broken down into 7% Internship, 64% Full Time, and 29% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $54,816 per year, or $26.4 per hour.
Data Analytics Intern

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 14 days ago


TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

122nd of 149 rated vehicle equipment hire


Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

Qualifications
What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.
Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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