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Internship Aetna Data Scientist Jobs (NOW HIRING)

Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

As a Data Scientist, you'll turn that data into models and analyses that ship inside the product ... Fully paid health coverage through Aetna -- we cover 100% of employee premiums * Top-tier dental ...

Data Scientist

New York, NY · On-site

$150K - $190K/yr

As a Data Scientist, you'll turn that data into models and analyses that ship inside the product ... Fully paid health coverage through Aetna - we cover 100% of employee premiums * Top-tier dental and ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

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Internship Aetna Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship aetna data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for internship aetna data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Aetna Data Scientist vs Internship Aetna Data Analyst?

AspectInternship Aetna Data ScientistInternship Aetna Data Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentEngages in advanced data modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in healthcare insurance companies like Aetna for developing predictive modelsUsed in similar settings for data reporting and business insights

The main difference between an Internship Aetna Data Scientist and an Internship Aetna Data Analyst lies in their focus and skill level. Data Scientists work on complex modeling and machine learning, requiring advanced technical skills, while Data Analysts focus on data reporting and basic analysis. Both roles are valuable in healthcare insurance companies like Aetna, but they serve different functions within data teams.

More about Internship Aetna Data Scientist jobs

What cities are hiring for Internship Aetna Data Scientist jobs?

Cities with the most Internship Aetna Data Scientist job openings:

What are the most commonly searched types of Aetna Data Scientist jobs?

The most popular types of Aetna Data Scientist jobs are:

What states have the most Internship Aetna Data Scientist jobs?

States with the most job openings for Internship Aetna Data Scientist jobs include:

Infographic showing various Internship Aetna Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time, Contractor

Posted 10 days ago


Key responsibilities

  • Lead full-cycle development of AI models, including data analysis, model building, training, and refinement.

  • Analyze call center interactions to identify service drivers, efficiency gaps, and opportunities for digital self-service.

  • Collaborate with cross-functional teams to operationalize analytical outputs into dashboards and reusable assets.


Job description

Senior Data Scientist - Call Center Innovation Lab (Remote, Contract to Hire)
About the Role
Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You'll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.
Responsibilities
- Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
- Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
- Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
- Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
- Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
- Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
- Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
- Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.
Required Skills and Experience
- Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.
- Hands-on proficiency in SQL and Python for analysis and modeling.
- Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
- Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
- Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
- Excellent communication skills for translating technical outcomes into business value for diverse audiences.
- Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
- Familiarity with version control systems (e.g., Git) and modern data workflows.
Preferred Skills
- Experience with call center, virtual assistant, or contact center data.
- Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
- Background in digital, customer interaction, or call center analytics.
- Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
- Master's degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field.
Benefits
- Remote, flexible work environment with leading-edge AI projects.
- Direct impact on digital transformation at enterprise scale.
- Opportunity to expand AI/ML skills with advanced NLP and LLMs.
- Collaborative culture with high visibility to business and technical leadership.
- Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.
How to Apply
Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US