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Math Major Computer Science Minor Internship Jobs in Raleigh, NC

AEG

Minor League Nutrition Coordinator

Durham, NC · On-site

The Tampa Bay Rays are seeking a Minor League Nutrition Coordinator to add to our Player ... Science, Medical). * Assist with additional duties as assigned by the Major League Dietitian.

GAP Solutions, Inc

Computer Programmer (52430)

Durham, NC · On-site

$120K - $150K/yr

... new or major revisions; maintain and follow SOPs; provide recommendations and review. * Work ... Bachelor's in Computer Science, Information Systems, or similar. * Requires a minimum of 5 Years of ...

GAP SOLUTIONS INC

... new or major revisions; maintain and follow SOPs; provide recommendations and review. * Work ... Bachelor's in Computer Science, Information Systems, or similar. * Requires a minimum of 5 Years of ...

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All JobsMath Major Computer Science Minor JobsMath Major Computer Science Minor Internship JobsMath Major Computer Science Minor Internship Jobs in Raleigh, NC

Math Major Computer Science Minor Internship information

What is a math major computer science minor internship?

A Math Major with a Computer Science Minor Internship is a work experience opportunity designed for students who are pursuing a major in mathematics and a minor in computer science. These internships allow students to apply their mathematical reasoning and computational skills in real-world settings, such as tech companies, finance, data analysis, or research labs. Interns often work on projects involving programming, data analysis, algorithm development, or modeling. The experience helps students build both technical and professional skills, making them more competitive for future jobs or graduate studies.

How can a math major computer science minor leverage their skills during an internship?

As a Math Major with a Computer Science Minor, you bring a strong analytical foundation and programming skills to your internship. You'll often be tasked with data analysis, algorithm development, or software testing, where your mathematical reasoning and coding abilities are highly valued. Collaborating with multidisciplinary teams, you'll contribute to problem-solving sessions and may assist in developing models or tools for real-world applications. This blend of skills not only allows you to take on complex technical tasks but also positions you well for future roles in data science, software engineering, or research.

What are the key skills and qualifications needed to thrive in a math major computer science minor internship, and why are they important?

To excel in a Math Major Computer Science Minor Internship, you need strong analytical skills, mathematical reasoning, programming knowledge, and a solid academic background in both mathematics and computer science. Familiarity with programming languages (such as Python, Java, or C++), software development tools, and data analysis platforms is typically expected. Problem-solving ability, effective communication, and a collaborative mindset are valuable soft skills that help interns succeed in team environments. These competencies ensure interns can tackle technical challenges, contribute meaningfully to projects, and adapt to the dynamic demands of technology-driven workplaces.

What is the difference between Math Major Computer Science Minor Internship vs Data Analyst?

AspectMath Major Computer Science Minor InternshipData Analyst
Required CredentialsRelevant coursework in math and CS, internship experienceDegree in math, statistics, or related field; some roles prefer certifications
Work EnvironmentInternship setting, often in tech or finance companiesOffice-based, data-focused roles in various industries
Industry UsageUsed for gaining experience and skills in tech, finance, or consultingAnalyzing data to inform business decisions across industries

The Math Major Computer Science Minor Internship provides hands-on experience combining math and CS skills, ideal for those exploring tech or finance fields. Data Analysts focus on interpreting data to support business strategies, often requiring similar educational backgrounds. Both roles involve working with data and technical skills, but internships are temporary learning positions, while Data Analysts are full-time roles with ongoing responsibilities.

What can I do with a math major computer science minor internship?

A math major with a computer science minor internship provides experience in data analysis, programming, and problem-solving, preparing you for roles such as software developer, data analyst, or quantitative analyst. It helps develop skills in programming languages like Python or Java and understanding of algorithms, which are valuable in tech, finance, and research industries.

What can you do with a math major and computer science minor?

A math major with a computer science minor prepares for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require strong problem-solving, programming skills, and knowledge of algorithms, with common tools including Python, Java, or SQL.

What internships can you do as a math major computer science minor internship?

As a math major with a computer science minor, you can pursue internships in software development, data analysis, cybersecurity, quantitative research, or machine learning. These roles often involve programming languages like Python or Java, and may require knowledge of algorithms, data structures, and statistical methods.

What are popular job titles related to Math Major Computer Science Minor Internship jobs in Raleigh, NC?

For Math Major Computer Science Minor Internship jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Math Major Computer Science Minor Internship jobs in Raleigh, NC look for?

The top searched job categories for Math Major Computer Science Minor Internship jobs in Raleigh, NC are:

Math Major Computer Science Minor Internship jobs near you
Infographic showing various Math Major Computer Science Minor Internship job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Decision Science Lead

Raleigh, NC • On-site

Habitat For Humanity Of Durham
See more jobs at Habitat For Humanity Of Durhamexternal

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Lead analytical initiatives from data exploration through model development and insight generation.

  • Partner with stakeholders across strategy, product, technology, and data teams to deliver data-driven solutions.

  • Mentor decision scientists and drive high-impact analyses to support business optimization and decision-making.

Job description

Language Fluency: English (Required)

English

Work Shift:

1st shift (United States of America)

Job Grade:

112

Please review the following job description:

We are seeking a strategic and intellectually curious Decision Science leader to drive data-informed decisions and measurable business results. This role partners closely with key stakeholders to solve complex business problems, identify growth opportunities, and influence strategic priorities through advanced analytics, machine learning, and AI-driven insights.

The successful candidate will lead analytical initiatives from data exploration through model development and insight generation, partnering across strategy, product, technology, and data teams to deliver solutions that improve decision-making and business performance.

Success in this role requires strong business acumen, executive communication skills, and the ability to translate complex analyses into clear, actionable recommendations that influence leaders and drive quantifiable outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  1. 1. Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
  2. 2. Lead on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
  3. 3. Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.
  4. 4. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
  5. 5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
  6. 6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
  7. 7. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.
QUALIFICATIONS: Required Qualifications

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  1. 1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
  2. 2. Bachelor’s degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience
  3. 3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
  4. 4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
  5. 5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
  6. 6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
  7. 7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
  8. 8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
  9. 9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
Preferred Qualifications
  1. 1. Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
  2. 2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
  3. 3. 2+ years of analytics management experience with a diverse project focus and demonstrated results
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

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