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Internship Data Science R Jobs in Philadelphia, PA

Vangard, Inc.

Senior Data Scientist

Malvern, PA · On-site

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Vangard, Inc.

Senior Data Scientist

Philadelphia, PA · On-site

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community ... Python * R and Tidyverse * Databases and database management with SQL * Business analytics

Deloitte

Data Scientist

Philadelphia, PA

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

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All JobsData Science R JobsInternship Data Science R JobsInternship Data Science R Jobs in Philadelphia, PA

Internship Data Science R information

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$12

$22

$42

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

As of Jun 9, 2026, the average hourly pay for internship data science r in Philadelphia, PA is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 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 Philadelphia, PA are hiring for Internship Data Science R jobs? Cities near Philadelphia, PA with the most Internship Data Science R job openings:
Internship Data Science R jobs near you
Infographic showing various Internship Data Science R job openings in Philadelphia, PA as of June 2026, with employment types broken down into 5% Internship, 79% Full Time, 5% Part Time, and 11% Temporary. Highlights an 74% In-person, 21% Hybrid, and 5% Remote job distribution, with an average salary of $47,235 per year, or $22.7 per hour.
Senior Data Scientist

Senior Data Scientist

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 11 days ago

Job description

Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.


Responsibilities

  • Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components
  • Design and implement scalable RAG (Retrieval-Augmented Generation) workflows
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.


Qualifications and Skills

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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