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Internship Optum Data Science Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO ยท On-site

$120K - $160K/yr

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in ...

Interns will gain hands-on experience in Engineering or Data within the Technology line of business ... Computer Science, Computer Engineering, Electrical Engineering, General Engineering, Software ...

Our internship is a key pipeline into full-time roles in the AEDP - our primary pathway for ... major of actuarial science, mathematics, statistics, finance, economics, or data analytics.

Showing results 21-40

Internship Optum Data Science information

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 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 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.

What are the most commonly searched types of Optum Data Science jobs in Colorado? The most popular types of Optum Data Science jobs in Colorado are:
What are popular job titles related to Internship Optum Data Science jobs in Colorado? For Internship Optum Data Science jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Internship Optum Data Science jobs? Cities in Colorado with the most Internship Optum Data Science job openings:

Data Engineer

Kharon

Denver, CO โ€ข On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Data Engineer
Application Deadline: 14 August 2026
Department: Engineering
Employment Type: Full Time
Location: Denver
Compensation: $120,000 - $160,000 / year
Description
TL;DR Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week.
RESPONSIBILITIES:
  • Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
  • Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
  • Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
  • Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
  • Interact and develop with internal and external APIs.
  • Work with product and business teams to define novel and critical metrics for the business.
  • Follow good engineering practices like documentation, diagrams, and unit/validation tests
  • Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.

QUALIFICATIONS:
  • 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.
  • BS/MS in Computer Science or equivalent experience in related fields.
  • Experience in Python, Pandas, PySpark, and Notebooks.
  • SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
  • Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
  • Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
  • Container-based deployment experience using Docker and Kubernetes.
  • Strong verbal and written communication skills.

NICE TO HAVE:
  • Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.
  • API experience using FastAPI, Flask, Spring Boot or equivalent.
  • Understanding of elasticsearch data and query modeling is a big plus.
  • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.

ABOUT KHARON:
Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.
What does that mean? Great question.
Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.
When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Data Engineer to join us as we work to shape the way businesses perceive and navigate global risks.
To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down.
To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect:
  • Fully sponsored medical, dental, and vision insurances
  • FSA program for both medical and dependent care
  • Long term disability
  • 401k + Roth with matching and immediate vesting
  • Flexible paid time off + 11 paid holidays

The base salary range at Kharon is set between$120,000 to $160,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.
If interested in pursuing this position, please visit www.kharon.com/careers to apply.
Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
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