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Internship Optum Data Science Jobs in Rochester, NY

Danaher

Digital Analyst Internships

Rochester, NY

$97.80K - $115.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Geneseo, NY

$95K - $112.30K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

R&D Internships

Rochester, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Danaher

R&D Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Haley & Aldrich

Staff Wetland Scientist 1

Rochester, NY · On-site

$45.26K - $65.56K/yr

Conduct routine data collection, analysis, and reporting using approved standard procedures ... Resource/Science discipline. * 0-3 years of related work experience, internships included.

Danaher

Product Manager Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

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

As of May 28, 2026, the average hourly pay for internship optum data science in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

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 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 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 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 Rochester, NY? The most popular types of Optum Data Science jobs in Rochester, NY are:
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Internship Optum Data Science jobs near you
Infographic showing various Internship Optum Data Science job openings in Rochester, NY as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Temporary. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.
Data Platform Engineer

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY • On-site

$113K - $135.70K/yr

Full-time

Posted yesterday

Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law

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