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Internship Data Science R Jobs in Concord, NC (NOW HIRING)

This role sits at the intersection of marketing strategy and data science, and requires an ability ... Write clean, well-documented code in Python and/or R for model development, feature engineering ...

This role sits at the intersection of marketing strategy and data science, and requires an ability ... Write clean, well-documented code in Python and/or R for model development, feature engineering ...

Demonstrate programming and coding experience in R, Python, or MS Azure for analytics and data science solutions. * Possess practical experience with Machine Learning, Artificial Intelligence, and ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Engineer

Charlotte, NC · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Develop predictive models and statistical analyses using Python, R, or similar tools. * Deploy ... Work with stakeholders to translate business objectives into data science solutions and actionable ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ... Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake ...

... to applied data science tools (R, Python, SAS, Snowflake), familiarity with data visualization and BI tools (Tableau, Power BI), and demonstrated proficiency in Microsoft Office Suite (Excel ...

Decision Scientist II

Charlotte, NC · On-site

$110 - $150/hr

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 ...

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Internship Data Science R information

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How much do internship data science r jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship data science r in Concord, NC is $20.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

Data Scientist I - Fraud Reporting

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 hours ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

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.

  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.

  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.

  • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.

  • Engage in stakeholder meetings to identify business objectives and scope solution requirements.

  • With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.

  • Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

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.

  • Bachelor's degree and zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training

  • Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests

  • Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes

  • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment

  • Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)

  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark

  • Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

  • Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering

  • Four years of relevant work experience if candidate lacks graduate degree

  • Previous experience in the banking or fin-tech industry

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.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019