Data Science Summer Intern

Key Skills

Apache Hadoop, Big Data Technology, Machine learning techniques, Natural Language Processing (NLP), Personalize, PySpark, Sensor fusion Algorithms, Spark-SQL

Job Description

Looking for an internship program where you'll make a real difference – rather than just completing busy work? Then you've come to the right place. The Cigna Group’s Summer Internship Program is designed to assign you projects that have a lasting impact on our business – which touches millions of people across the globe. 

As an intern, you'll get an inside look at your desired field, while working next to some of the best in the industry. Program activities, including an executive speaker series, volunteer events, and career development workshops, give you 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 2024 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

The Data Scientist Internship is an exciting opportunity to be part of Enterprise Data Science team at Evernorth Health Services. The internship will involve using data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience. Utilize machine learning for developing next generation of predictive models for targeted business solutions. Support the team in application of Text Mining to mine Voice of Customer data. Develop supervised / unsupervised algorithms, Big Data pipelines for making business processes efficient.

At Evernorth Health Services, interns 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.

• Previous project examples:

Develop Next Generation Supervised Machine Learning Clinical models to predict Medical Non-Adherence

Training of call classification unsupervised topic models using big data platforms such as Spark and Hadoop

Leverage state of the art NLP Algorithms for detection of personal health information (PHI) entities within free text comments to automatically de-identify natural language

Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.

Qualifications

• Candidates working towards a Master’s degrees or a PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines
• Excellent ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases
• Proficient programming skills either in SAS, R, or Python
• Proficient in Basic Probability and Statistics
• Preference given to students with 3.0 GPA or above with demonstrated proficiency in quantitative subjects

Additional Experience Required

• Proficient with one or more quantitative data analysis languages such as R, Python
• Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing
• Proficiency with relational database concepts and SQL preferred
• Proficiency in data manipulation, cleansing and interpretation
• Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS
• Experience with visualization tools like Tableau, Shiny, ggplot, Matplotlib
• Experience with Microsoft Office Suite

Additional Information

• Location: This in an on-site internship. Applicants should be prepared to be aligned to one of the following locations:
  • 4600 North Hanley, St. Louis, MO 63134
  • 115 Tabor Road, Morris Plains, NJ 07950
  • 11501 Alterra Pkwy, Austin, TX 78758
• Work Authorization: One goal of this internship program is to prepare and identify qualified candidates for roles with The Cigna Group post-graduation. Therefore, this temporary internship is open only to individuals who are eligible for employment in the United States and who would not require visa sponsorship now or in the future.
• Schedule: You must be available to work 40 hours/week for 12 consecutive weeks beginning May 20, 2024. Working hours are Monday – Friday
• Compensation:For this position, we anticipate offering an hourly rate between $30.00 and $40.00 an hour depending on relevant factors, including major and year of study.