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Sas R Python Internship Jobs in Durham, NC (NOW HIRING)

Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. * Participate in defining ...

Knowledge of Excel, Tableau, Microsoft Power BI and various coding languages (VBA, R, Python, SAS) are essential to the success of this position. * Prior experience developing and executing queries ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Experience with R, Python, SQL, Git, or other modern programming/version control tools. * Experience with SAS Enterprise Guide or other SAS-based clinical programming environments. * Experience ...

Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus * Excellent ... Responsibilities will vary based on the internship role, and may include: * Collaborating on ...

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

Principal R Programmer

Durham, NC ยท On-site

$98K - $273K/yr

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to ... Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

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Sas R Python Internship information

See Durham, NC salary details

$7

$52

$74

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

As of Aug 2, 2026, the average hourly pay for sas r python internship in Durham, NC is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $57.84 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.

Gen AI Engineer

E-Solutions, Inc.

Raleigh, NC โ€ข On-site

Other

Posted 23 days ago


Job description

Position Title: Gen AI Engineer

Job Location: Richardson, TX, Plano, TX, Dallas, TX, Irving, TX, Tampa, FL & Raleigh, NC

Remote/Onsite: Onsite

Job Type: Full time//Permanent 
 

Job description:-

            Participate in data extraction, transformation, and preparation.

  • Resolve common data issues and ensure quality for model development.
  • Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
  • Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
  • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
  • Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
  • Identify data sources and extract from RDBMS and develop UI/UX for client usage.
  • Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
  • Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
  • Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
  • Apply predefined quality measurement frameworks, if any, to individual project tasks.
  • Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.

Your contribution to the team:

  • Strong analytical and problem-solving mindset with hands-on model development skills.
  • Ability to translate business needs into actionable analytics solutions.
  • Focus on data quality, validation and performance optimization.
  • Effective collaboration with business and technology stakeholders.
  • Commitment to continuous learning, knowledge sharing, fostering team development.

Required Skill and Experience

  • Experience in Generative AI and Large Language Models (LLMs)
  • Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners)
  • Solid understanding of:
  • RAG architectures
  • Prompt engineering & prompt chaining
  • Conversational AI design patterns
  • Strong programming experience in Python preferred

Preferred Skill and Experience

  • Experience with LangChain / similar orchestration frameworks
  • Exposure to LLM fine-tuning, embeddings, vector databases
  • Experience building enterprise copilots or AI assistants
  • Familiarity with cloud-based GenAI platforms

Additional Required Qualifications

  • Bachelorโ€™s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

Gen AI Engineer5Python,Langchain,genai,AgenticN/AFull TimeUnited States