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Internship Optum Data Science Jobs in Anderson, SC

ARTHREX

Environmental Health & Safety Intern

Pendleton, SC · On-site

$13.50 - $18.25/hr

... data analysis experience and will be pursuing a Bachelor of Science degree in Occupational Safety and Health or a Bachelor of Science in an Engineering related field. This internship will run from ...

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Arthrex

Environmental Health & Safety Intern

Pendleton, SC · On-site

$13.50 - $18.25/hr

... data analysis experience and will be pursuing a Bachelor of Science degree in Occupational Safety and Health or a Bachelor of Science in an Engineering related field. This internship will run from ...

Syensqo

Quality Intern

Piedmont, SC · On-site

Job ID 34975 Quality Intern Internship Piedmont - SC, United States of America ( - SC,United States ... Analyze data by completing ANOVA, DOE, GR&R, Capability, FMEA, and SPC as required. Refine and ...

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Internship Optum Data Science information

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$38

How much do internship optum data science jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship optum data science in Anderson, SC is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.45 per hour, depending on experience, location, and employer.

What is an internship Optum Data Science?

An Internship Optum Data Science is a temporary, entry-level role at Optum, a healthcare services company, where students or recent graduates work on real-world data science projects. Interns gain hands-on experience analyzing healthcare data, building predictive models, and collaborating with professionals to solve business challenges. The internship provides valuable exposure to the healthcare industry, advanced analytics tools, and the opportunity to develop technical and professional skills. It's designed to help individuals explore a career in data science while contributing to impactful work that can improve health outcomes.

What types of projects can I expect to work on during a Data Science internship at Optum?

As a Data Science intern at Optum, you will typically contribute to projects focused on healthcare analytics, predictive modeling, and data visualization to support business and clinical decision-making. Interns often work with large datasets to uncover insights that help improve patient outcomes, reduce costs, or optimize operational processes. You can expect to collaborate closely with experienced data scientists, engineers, and business stakeholders, gaining hands-on experience with industry-standard tools and practices. This environment not only allows you to develop your technical skills but also provides exposure to real-world applications of data science in healthcare.

What are the key skills and qualifications needed to thrive as an internship Optum Data Science, and why are they important?

To excel as a Data Science Intern at Optum, you typically need a solid background in statistics, programming (often Python or R), and data analysis, usually gained through coursework or a related degree. Familiarity with data visualization tools like Tableau, machine learning libraries such as scikit-learn or TensorFlow, and experience with SQL databases are highly advantageous. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These qualifications and skills are crucial for deriving actionable insights from complex healthcare data and contributing to innovative solutions in a collaborative environment.

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

AspectInternship Optum Data ScienceData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentHealthcare-focused, collaborative teams, use of advanced analytics and machine learningBusiness-focused, data reporting, visualization, and basic analysis tasks
Employer & Industry UsageOptum/UnitedHealth Group, healthcare industryVarious industries including healthcare, finance, retail, often within corporate settings

Internship Optum Data Science focuses on applying advanced analytics and machine learning in healthcare, requiring a background in data science. In contrast, Data Analyst Internships emphasize data reporting and visualization skills across multiple industries. Both roles provide valuable experience but differ in technical depth and industry focus.

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Internship Optum Data Science jobs near you
Infographic showing various Internship Optum Data Science job openings in Anderson, SC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $42,848 per year, or $20.6 per hour.

Design Engineer I - New Product Development Engineering

Techtronic Industries (TTI)

Anderson, SC • On-site

$118K - $141K/yr

Full-time

Re-posted 2 days ago

Techtronic Industries TTI rating

8.3

Company rating: 8.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

119th of 499 rated machine equipment manufacturers

Job description

Job Description:
Design Engineer I - New Product Development Engineering
The Design Engineer I supports the design and development of outdoor power equipment (OPE) systems and components. Working under the guidance of senior engineers and engineering leadership, this role contributes to product development from concept through production by creating detailed designs, supporting prototype builds, conducting testing, and assisting with product validation. The Design Engineer I develops technical skills while collaborating with cross-functional teams to deliver high-quality, manufacturable products.
Key Job Functions & Responsibilities
Technical Design Ownership
  • Supports the design and development for assigned components, sub-assemblies, or systems from concept, layout, and detailed CAD through validation and production release.
  • Develops and maintains 3D CAD models, 2D drawings, GD&T, tolerance stacks, and specifications to ensure functional performance, regulatory compliance, durability, safety, and manufacturability.
  • Ability to analyze problems and provide design trade-off analyses (performance, cost, weight, manufacturability, reliability) and documents rationale for design decisions.
  • Applies structured problem-solving methods to resolve design issues, field failures, and manufacturing concerns.
  • Learns and applies sound engineering principles while developing technical judgment.

Design for Manufacturing, Cost, and Quality
  • Designs components with consideration for manufacturability, assembly, quality, and cost.
  • Works with manufacturing engineering, sourcing, quality, and suppliers to understand the processes and design constraints.
  • Supports value engineering and continuous improvement initiatives.
  • Ensures designs comply with internal standards, regulatory requirements, and applicable UL / ANSI / CSA / ISO expectations.

Verification & Validation
  • Supports DFMEA inputs, design risks, and mitigation strategies for designs.
  • Supports the development and execution of design verification plans including tolerance validation, stress analysis, durability testing, environmental testing, and abuse testing.
  • Uses data-driven test results to refine designs and confirm requirements are met with appropriate margin.
  • Supporting engineering change documentation and product release activities.

Cross-Functional Collaboration
  • Collaborates with Product Management to understand customer requirements and product objectives.
  • Supports Manufacturing Engineering during pilot builds, PPAP, and ramp-up by resolving build issues and incorporating feedback into design revisions.
  • Communicates effectively with global cross-functional teams

Required Qualifications
  • Bachelor of Science in Mechanical Engineering or related engineering discipline.
  • 0-3 years of design experience in consumer, industrial, or electromechanical products (internship and co-op experience considered).
  • Experience with 3D CAD (Creo / SolidWorks / NX or equivalent).
  • Basic understanding of engineering drawings and GD&T.
  • Effective written and verbal communication skills.
  • Strong analytical and problem-solving skills.
  • Comfortable working in a fast-paced, results-driven product development environment.

Preferred Qualifications
  • Internship or co-op experience in product development or manufacturing.
  • Familiarity with injection molding, sheet metal, die casting, machining, or other manufacturing processes.
  • Hands-on mechanical aptitude.
  • Experience with prototype assembly and product testing.

Travel
  • Up to 25% travel (International and Domestic)

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