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Machine Learning Engineer Intern Job Opening In Austin – Now Hiring Cigna


Job description


Looking for an internship program where you'll make a real difference - then you've come to the right place.

The Cigna Group's Summer Internship Program is designed to provide you project-based experience that will have a lasting impact on our business - which touches millions of people across the globe.
As an intern, you will get an inside look at your desired field, while working next to some of the best in the industry.

You will gain access to program activities, including an executive speaker series, volunteer events, and career development workshops.

You will have the opportunity to network with employees across the organization and prepare you for a full-time career.
Where You'll Work
Evernorth Health Services, a division of The Cigna Group, is seeking 2026 Summer Interns who have a passion for applying Advanced Analytics and Data Science to Healthcare's biggest challenges.

Evernorth Health Services creates pharmacy, care and benefits solutions to improve health and increase vitality.

We relentlessly innovate to make the prediction, prevention and treatment of disease more accessible to millions of people.
What You'll Do
Join the Enterprise Data Science team at Evernorth Health Services as a Machine Learning Engineering Intern.

In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects.

You'll focus on creating scalable algorithms and developing efficient data pipelines.
At Evernorth Health Services, you will get a chance to work with a variety of large datasets including pharmacy and medical claims transactions, member information, voice call transcripts, survey data, web log data, etc.
Project Examples:
* Point of Concept (POC) for building an embedding store leveraging autoencoders.
* Build frameworks to fast-track model development to deployment lifecycles.
* Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
Qualifications
* Working towards a Master's Degree or PhD in quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, Computational Linguistics or related quantitative disciplines or other similar degree
* Ability to work with a variety of data sources with SQL & Python
* Experience with Python Machine Learning (ML) Libraries (Scikit Learn, MLlib, TensorFlow, and PyTorch).
* Exposure to AWS cloud services and running Apache Spark applications
* Previous work experience in software engineering a plus
* Experience with API development leveraging Fast API / Flask
* Developing and deploying Spark/Databricks jobs with enterprise tool stacks like Jenkins / GitHub Actions
* Deployment utilizing containerization solutions like Docker and Kubernetes
* Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS
* Experience with Microsoft Office Suite
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives.

At The Cigna Group, we're dedicated to improving the health and vitality of those we serve.

Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients.

Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support.

Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible.

Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment.

These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Austin, United States, highlighting market share and opportunities for professionals in Machine Learning roles.

11027 Jobs in United States
11027
120 Jobs in Austin
120
Download Machine Learning Jobs Trends in Austin and United States

Are You Looking for Machine Learning Engineer Intern Job?

Great news! is currently hiring and seeking a Machine Learning Engineer Intern to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cigna adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Intern Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer Intern?

Key qualifications for Machine Learning Engineer Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Machine Learning Engineer Intern, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Engineer Intern Job Success

Cigna interview tips for Machine Learning Engineer Intern

Here are some tips to help you prepare for and ace your Machine Learning Engineer Intern job interview:

Before the Interview:

Research: Learn about the Cigna's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer Intern interview at Cigna, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cigna's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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