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Internship Data Science R Jobs in North Carolina

Data Science Intern

Charlotte, NC ยท Hybrid

$22 - $24/hr

Participate in an intensive 10-week data science internship and learn how data science is practiced in the industry * Work as part of an agile team of data scientists, actuaries, and machine learning ...

New

Data Science Intern

Charlotte, NC ยท On-site

$22 - $24/hr

Participate in an intensive 10-week data science internship and learn how data science is practiced in the industry * Work as part of an agile team of data scientists, actuaries, and machine learning ...

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

... Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark โ€ข Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc โ€ข R- dplyr, car, caret ...

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

... in data science (Python, R, Spark, etc.) o Practical knowledge of Retrieval-Augmented Generation (RAG), embeddings/vector search, document extraction tools (Azure Document Intelligence, Textract ...

New

... Science, Mathematics, or related field (Master's preferred) โ€ข Proven experience in data analysis, machine learning, or predictive modeling โ€ข Strong proficiency in Python, R, or SQL โ€ข Experience ...

... Actuarial Science * Proficiency In Python, SQL, Or R * Experience In Loss Cost Modeling ... Data Transformation * Statistical Analysis * Data Visualization Soft Skills * Collaboration

Data Scientist

Raleigh, NC ยท On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

... Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling * Strong proficiency in Python, R, or SQL

... Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling * Strong proficiency in Python, R, or SQL

Showing results 41-60

Internship Data Science R information

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.

What are the most commonly searched types of Data Science R jobs in North Carolina?

The most popular types of Data Science R jobs in North Carolina are:

What cities in North Carolina are hiring for Internship Data Science R jobs?

Cities in North Carolina with the most Internship Data Science R job openings:

Data Science Intern

Charlotte, NC โ€ข Hybrid

$22 - $24/hr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Job description

The Data Science Intern will work with a team of data scientists, data engineers, and actuaries. You will learn to apply analytical and software engineering skills to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness. Other job function expectations include: using tools such as Python, Jupyter, git, and communicating outcomes using MS PowerPoint.ย 

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

  • Pursuing masters or bachelor's degree, preferably in a quantitative field (CS, Engineering, Math etc)ย 
  • Python - should be able to write working python code
  • Probability, statistics, and/or machine learning related courseworkย 

You may not meet every requirement listed in the job description. If you bring broad expertise and alignment to the role and resonate with our core values, we encourage you to apply.

Relocation assistance within the U.S. is available for this position. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Hybrid Work Policy:

SCOR is committed to an "in-office" culture where people can collaborate, exchange ideas, and establish stronger working relationships while ll providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.


Pay Range for roles performed in Charlotte: $22.00-$24.00 hourly rate. Actual salaries may vary based on various factors including
but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long term incentives. In addition, we provide a variety of benefits to employees, including health insurance
coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.

  • Participate in an intensive 10-week data science internship and learn how data science is practiced in the industry
  • Work as part of an agile team of data scientists, actuaries, and machine learning engineers
  • Assist data scientists in training/interpreting ML models, and conducting experiments
  • Assist data scientists in writing ML pipelines, while applying SOLID design principles to develop analytics software
  • Assist data scientists in understanding financial impact of machine learning models
  • Research and present a final project to Americas Data Analytics staffย