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Full Time Data Analytics Intern Jobs in Raleigh, NC

Elder Research

Data Scientist

Raleigh, NC · On-site

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into ...

ABB

Finance Intern - Fall 2026

Cary, NC · Hybrid

$20 - $34/hr

... teams to analyze operational cost drivers and recommend data-backed improvements. * Assist in ... Employment Type: FULL_TIME

ABB

Finance Intern - Fall 2026

Cary, NC · On-site

$20 - $34/hr

... teams to analyze operational cost drivers and recommend data-backed improvements. * Assist in ... Intern must have reliable transportation to and from the worksite. * Must be legally authorized to ...

Abb Holdings Inc

Finance Intern - Fall 2026

Cary, NC · On-site

$20 - $34/hr

... teams to analyze operational cost drivers and recommend data-backed improvements. * Assist in ... Intern must have reliable transportation to and from the worksite. * Must be legally authorized to ...

CWILL

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... Type Full-time Collaborating Teams CWILL Data Engineering, Data Analytics, Business, Product, and Technology teams Language English required; Mandarin is a strong plus Cross-Timezone Work Must ...

Labcorp

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... analytics. * Strong knowledge of Data Fabric services, particularly Data engineering, Data ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Labcorp

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... analytics. * Strong knowledge of Data Fabric services, particularly Data engineering, Data ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

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All JobsFull Time Data Analytics Intern JobsFull Time Data Analytics Intern Jobs in Raleigh, NC

Full Time Data Analytics Intern information

See Raleigh, NC salary details

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$40

How much do full time data analytics intern jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for full time data analytics intern in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Full Time Data Analytics Intern vs Data Analyst?

AspectFull Time Data Analytics InternData Analyst
QualificationsTypically pursuing or recently completed a bachelor's degree in data-related fieldsBachelor's degree or higher in data analysis, statistics, or related fields; sometimes requires experience
Work EnvironmentInternship programs within companies, often part-time or temporaryFull-time, permanent roles within organizations across industries
ResponsibilitiesAssisting with data collection, cleaning, and basic analysis under supervisionPerforming in-depth data analysis, creating reports, and providing insights independently

In summary, a Full Time Data Analytics Intern is an entry-level position aimed at gaining practical experience, often part of an internship program. A Data Analyst is a more experienced, full-time role responsible for comprehensive data analysis and decision support within organizations.

Full Time Data Analytics Intern jobs near you
Data Scientist

Data Scientist

Elder Research

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist
General Information
Requisition # 694
Locations USA-VA-Arlington OR USA-NC-Raleigh
Posting Date 05/08/2026
Security Clearance Required - NONE
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1-2 days onsite per week.
This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.
Responsibilities include but are not limited to:
  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:
  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:
  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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