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Data Science Analyst Intern Jobs in Lexington, SC

ACT Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Internship Summary As the Technical Sales Engineer Intern at AMAROK, you will support the Technical ... Collect, analyze, and present data to support internal teams and external customers. Requirements

New

Retail Pharmacy intern

Columbia, SC

$15.50 - $19.25/hr

Must have the ability to do logical or scientific thinking to solve problems; several abstract and ... data. * Have the ability to do arithmetic calculations involving arithmetic, algebraic and ...

Internship Summary As the Technical Sales Engineer Intern at AMAROK, you will support the Technical ... Collect, analyze, and present data to support internal teams and external customers. Requirements

New

Earth Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

What You'll Do As a Roadway Design Intern, you will support transportation engineering projects ... analyze, prepare, and quality check client deliverables * Field observations and data collection ...

NGA AI Engineer Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

... AND ANALYTICAL SKILL STRONG UNDERSTANDING OF DIMENSIONAL & RELATIONAL DATA MODELS. REQUIRED EDUCATION/CERTIFICATIONS: BS IN MATHEMATICS, ECONOMICS, COMPUTER SCIENCE, INFORMATION MANAGEMENT OR ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Architect

Columbia, SC

$59 - $75.75/hr

... and analytical skill Strong understanding of dimensional & relational data models. Required education/certifications: BS in mathematics, economics, computer science, information management or ...

... analyzing environmental case studies, interpreting water quality and air pollution data, and ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

... analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Our Opportunity Responsibilities We are looking for a Jr. Data Engineer to join ...

... reading and extracting data from road plans, have good computer skills, an ability to make ... Qualifications Intern Base Project - Only USc or GCc Additional Information All your information ...

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Showing results 21-40

Data Science Analyst Intern information

See Lexington, SC salary details

$10

$19

$36

How much do data science analyst intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data science analyst intern in Lexington, SC is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $21.01 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What cities near Lexington, SC are hiring for Data Science Analyst Intern jobs?

Cities near Lexington, SC with the most Data Science Analyst Intern job openings:

Specialist, Field Monitoring - Technical Field Data

Scout Motors Inc.

Blythewood, SC • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Scout Motors Inc. is a company dedicated to reviving an iconic American vehicle brand with a focus on innovation and quality. The Field Monitoring Quality Specialist will analyze vehicle and field data to identify issues impacting customer experience and vehicle performance, collaborating closely with engineering teams to enhance product quality and customer trust.
Responsibilities:
• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Develop and deploy AI/ML models for: Anomaly detection, Failure prediction, Sentiment analysis
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
• Work closely with: Vehicle engineering (hardware & software), Connected vehicle and app development teams, Service, warranty, and customer support organizations
• Enhance data collection capabilities, user interfaces, and reporting standards across systems
Qualifications:
Required:
• A bachelor’s degree in engineering, computer science and/or data science.
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment.
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments.
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms).
• Experience in running Java Script, Python, SQL, HTML/CSS.
• Experience in deploying AI-based solutions and tools for data processing.
• Ability to build full-scale AI-powered products from scratch using available open AI.
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics.
• Understand data warehouse systems like Basic AWS or Azure data services or Databricks.
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics).
• Ability to work across functions and translate data insights into engineering actions.
• Experience working with customer feedback systems and VoC analytics.
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.