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Sas R Python Internship Jobs (NOW HIRING)

Mercury Insurance Services, LLC

Product Analyst II

$76K - $142K/yr

Use tools such as SQL/SAS/R/Python, Excel, and PowerBI/Hex, and rating/competitive tools to develop and validate datasets used for performance, pricing, and segmentation analysis and visualizations.

MSD

Senior Statistical Programmer

Rahway, NJ

Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC) * Utilizes and ...

New

MSD

Senior Statistical Programmer

North Wales, PA

Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC) * Utilizes and ...

New

Td

Risk Manager I (US)

New York, NY · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

Td

Risk Manager I (US)

Wilmington, DE · On-site

$91K - $136K/yr

... SAS, R, Python, etc; The role is expected to work closely with stakeholders to support origination optimization design and implementation; evaluate and improve statistical models throughout ...

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How much do sas r python internship jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for sas r python internship in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What cities are hiring for Sas R Python Internship jobs? Cities with the most Sas R Python Internship job openings:
What are the most commonly searched types of Sas R Python jobs? The most popular types of Sas R Python jobs are:
What states have the most Sas R Python Internship jobs? States with the most job openings for Sas R Python Internship jobs include:
Sas R Python Internship jobs near you
SAS to Python / R Migration Developer

SAS to Python / R Migration Developer

Ignite IT

Suitland, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

The SAS to Python/R Migration Developer is responsible for hands-on conversion, testing, and validation of SAS analytical code into Python and/or R under the guidance of a migration architect. This role focuses on execution quality, code accuracy, and reproducibility.

This is a build-and-deliver role for someone who enjoys translating logic and making things work correctly.

Key Responsibilities

  • Convert SAS programs into Python and/or R code following defined standards
  • Translate:
    • SAS DATA steps
    • PROC SQL
    • Statistical PROCs
    • SAS Macros into Python/R functions or modules
  • Implement data ingestion, transformation, and analytics workflows
  • Perform side-by-side validation of SAS vs Python/R outputs
  • Debug discrepancies in calculations or statistical results
  • Write clean, maintainable, well-documented Python/R code
  • Develop unit tests and validation scripts
  • Optimize performance for large datasets
  • Collaborate closely with architects and data stakeholders
  • Participate in code reviews and knowledge transfer

Requirements

  • 4+ years of analytics or data engineering experience
  • Strong hands-on SAS programming experience
  • Strong proficiency in Python and/or R
  • Practical experience translating business logic across languages
  • Familiarity with:
    • Pandas / NumPy / SciPy or tidyverse / data.table
    • SQL and relational data concepts
  • Experience validating statistical and analytical outputs
Nice to Have
  • Prior participation in SAS migration projects
  • Experience with Git, CI/CD, and automated testing
  • Exposure to cloud-based analytics environments
  • Understanding of performance tuning in Python or R

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

Apply