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Internship Data Science R Jobs in Irving, TX (NOW HIRING)

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Data Scientist Location: Dallas, TX Hybrid Role Summary Data Scientists bridge raw data and ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Data Scientist - JD & Tech Stack Location: Plano/Frisco, TX Hybrid In Person Interview Visa ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

... R and SQL, including database management tasks * Develop reproducible reports using Markdown What We're Looking For: * Master's degree (or equivalent) in Data Science, Business Analytics, or a ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

Master's degree in Computer Science, Data Science, Statistics, or related field * 6+ years of experience as a data scientist or in a related role * Strong programming skills in Python or R

Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles * Expertise in programming with Python, R, or SQL; hands-on experience with machine ...

Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles * Expertise in programming with Python, R, or SQL; hands-on experience with machine ...

The role requires 6+ years of data science experience applied specifically to cybersecurity ... R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data ...

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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 Jul 6, 2026, the average hourly pay for internship data science r in Irving, TX is $21.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at 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 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.

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 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 cities near Irving, TX are hiring for Internship Data Science R jobs? Cities near Irving, TX with the most Internship Data Science R job openings:
Sr. Director - Data Science (Hybrid - Flexible Options)

Sr. Director - Data Science (Hybrid - Flexible Options)

Broadridge

Coppell, TX • Hybrid

Full-time

Posted 25 days ago


Broadridge rating

6.5

Company rating: 6.5 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

137th of 146 rated financial services


Job description

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team.

Broadridge is Growing! We are seeking a Sr. Director - Data Science who will be a skilled problem solver with a passion for utilizing data to drive business results through insights and improved decision-making. The position will involve working closely with internal teams at Broadridge as well as Broadridge clients for the planning, execution, and delivery of Broadridge analytics and data science products, which include a variety of predictive models, marketing analytics, forecasting, development of sales and business analytics, and more.

The Sr. Director - Data Scientist will participate in analytical product development and custom consulting projects focused on delivering new analytical insights to clients. This opportunity is for someone who wants to make an impact in advanced analytics and data science within the Asset Management segment of the FinTech Industry and will provide direct support to North American Distribution Solutions. The Data Scientist will develop an analytical expertise that can result in new developments or enhancements to client engagements, as well as integration and improvements associated with Broadridge analytics products.

Work Mode: We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be coming into the office 2 days a week andgiven the flexibility to work remotely the rest of the time.

Job Responsibilities:

  • Experience in financial services with an emphasis in distribution
  • Excellent communicator with the ability to problem solve through data and explain nuanced analytic output to end business users
  • Lead analytics projects, working with business leaders, product managers, and other Data Scientist(s)
  • Strong organizational skills and attention to detail
  • Sporadic travel to meet with clients
  • Develop new metrics and methodologies to achieve analytic goals of the clients
  • Stay informed and/or follow all relevant Broadridge policies to ensure the security and privacy of the data
  • May perform other duties/responsibilities as needed or assigned.

Preferred Qualifications:

  • Required experience in Asset Management distribution or Financial Intermediary analytics; experience supporting product distribution or sales analytics strongly preferred

  • 10+ years of experience in data science, quantitative analytics, or a similar analytical role

  • Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or another quantitative discipline

  • Prior experience as a Data Scientist or in a similar quantitative analytical role required
  • Experience with R and/or Python required
  • Strong SQL skills required, including data mining and data extraction from large datasets
  • Experience processing, analyzing, and interpreting large, complex datasets
  • Experience leading analytical projects or workstreams and translating business needs into actionable insights
  • Proven ability to work independently, manage multiple priorities, and deliver high-quality work with minimal oversight
  • Strong communication skills, including the ability to present data-driven findings clearly to business stakeholders
  • Ability to thrive in a collaborative environment and partner effectively with stakeholders
  • Advanced Excel skills required
  • Data science-related certifications are a plus, but not required

"Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education."

Salary Range: 175,000.00 - 200,000.00 USD annual

Bonus Eligible

Please visit www.broadridgebenefits.com for more information on our comprehensive benefit offerings.

#LI-MR1

#LI-Hybrid

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective.

Use of AI in Hiring

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.

US applicants: Clickhereto view the EEOC "Know Your Rights" poster.

Disability Assistance

We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws.

If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at 888-237-7769 or by sending an email toBRcareers@broadridge.com.


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About Broadridge

Sourced by ZipRecruiter

Broadridge, a global Fintech leader with more than $6 billion in revenues, provides the critical infrastructure that powers investing, corporate governance and communications to enable better financial lives. We deliver technology-driven solutions that drive digital transformation for our clients and help them get ahead of today’s challenges to capitalize on what’s next. For nearly six decades, we’ve been providing the critical infrastructure that powers corporate governance, capital markets and wealth and investment management. Our industry-specific technology, solutions and data and intelligence power business transformation – helping you get ahead of today’s challenges while preparing for what’s next.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New Hyde Park, NY, US

Year founded

1962

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