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Internship Data Science R Jobs in North Carolina

... to data science (Python, R, etc.) and big data technologies. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate ...

... science (Python, R, etc.) and big data technologies. Company : Korn Ferry is a global consulting firm that powers performance. Founded in 1969, the company is headquartered in Los Angeles, CA, US ...

Data Scientist Mid

Fort Liberty, NC · Hybrid

$109K - $148K/yr

Experience: 5-8 years of related experience, including academic or internship-based data science work. * Education: Bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or ...

Data science, statistics, or experimental psych. • Good communication skills. • Proven ability ... or R, preferably both. Company : PlanIT Group is an IT and engineering professional services ...

... Science, Engineering, or a related field. * Internship, co-op, academic project experience, or up ... Proficiency with data analysis and programming tools such as Python, R, SQL, or similar ...

... data science solutions. • Leading small- to medium-sized teams (direct or indirect ... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data ...

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

Strong proficiency in Python or R, SQL, and machine learning libraries * Hands‑on experience with ... Proven ability to lead end-to-end data science projects from discovery through production

... data science solutions. • Leading small- to medium-sized teams (direct or indirect ... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data ...

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into ...

... Data Science, or related discipline. * Experience conducting epidemiologic analyses on large-scale public health or healthcare datasets. * Experience in SAS, R, Python, SQL, or comparable analytical ...

Strong proficiency in Python or R, SQL, and machine learning libraries * Hands-on experience with ... Proven ability to lead end-to-end data science projects from discovery through production

Strong proficiency in Python or R, SQL, and machine learning libraries * Hands-on experience with ... Proven ability to lead end-to-end data science projects from discovery through production

Data Scientist Mid

Fort Liberty, NC · On-site

$109.40 - $148.02/hr

Experience: 5-8 years of related experience, including academic or internship-based data science work. * Education: Bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or ...

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:

Director, Data Sciences

LexisNexis

Raleigh, NC • On-site

Full-time

Re-posted 6 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

191st of 495 rated business services


Job description

Job Summary:
LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. The Director, Data Sciences is responsible for leading a team of data scientists and developing strategies for data-driven decision making, while overseeing advanced research and the implementation of machine learning solutions.
Responsibilities:
• Strategic Leadership: Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
• Team Management: Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Advanced Research Direction: Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches.
• Machine Learning and AI Solutions: Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.
• Data Analysis and Modeling: Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
• Data Collection and Preparation: Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
• Data Visualization Strategy: Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
• Cross-functional Collaboration: Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
• Model Deployment and MLOps: Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
• Documentation Standards: Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
• Stakeholder Management: Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
• Budget and Resource Management: Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
• Ethical AI Governance: Develop and enforce ethical guidelines and best practices for AI development and deployment.
Qualifications:
Required:
• Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
• 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
• Demonstrated experience in managing and scaling data science teams of 15+ professionals.
• Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
• Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
• Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
• Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
• Strong business acumen with the ability to translate complex technical concepts into business value.
• Excellent communication and leadership skills, with experience presenting to executive leadership.
• Experience working in a global or multicultural environment.
• Record of successful collaboration with product, engineering, and business teams.
• Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.

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