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Data Science Fall Internship Jobs in Baton Rouge, LA

T. Baker Smith

Survey Summer Internship

Prairieville, LA · On-site

$13.50 - $17.50/hr

... data obtained. * Gather necessary equipment and supplies to fulfill project requirements. * Work ... science, civil engineering, geography, and others) * Valid and current driver's license with a ...

Danaher

Digital Analyst Internships

Baton Rouge, LA

$94.60K - $111.90K/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

Baton Rouge, LA

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 ...

WSP

Early Career Environmental Scientist

Belle Rose, LA · On-site

$66K - $86.70K/yr

Under general supervision, assist with collecting, compiling, and analyzing data from the physical ... Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a closely ...

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Data Science Fall Internship information

See Baton Rouge, LA salary details

$11

$21

$40

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

As of May 30, 2026, the average hourly pay for data science fall internship in Baton Rouge, LA is $21.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Baton Rouge, LA? For Data Science Fall Internship jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Baton Rouge, LA look for? The top searched job categories for Data Science Fall Internship jobs in Baton Rouge, LA are:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Baton Rouge, LA as of May 2026, with employment types broken down into 40% Internship, 20% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $44,948 per year, or $21.6 per hour.
CW Healthcare Data Science Intern

CW Healthcare Data Science Intern

Blue Cross and Blue Shield of Louisiana

Baton Rouge, LA • On-site

Part-time

Posted 7 days ago

Blue Cross Blue Shield of Louisiana rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with Blue Cross.
Residency in or relocation to Louisiana is preferred for all positions.
What This Team Does
The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. Using machine learning, statistical modeling, and generative AI, the team analyzes data, finds key correlations, and recommends strategies to improve patient outcomes, provider performance, risk-adjusted revenue, and organizational initiatives that support cost-effective care.
This team partners closely with business units and IT to deliver predictive models, prescriptive insights, and innovative AI based tools that improve decision-making and operational efficiency across the enterprise.
As a Healthcare Data Science Intern, you'll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes.
What You'll Be Doing
  • Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance.
  • Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement.
  • Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis.
  • Partner with business stakeholders to translate analytical findings into actionable insights.
  • Collaborate with IT teams to support model deployment efforts and analytic tool development.
  • Document modeling methods, results, and assumptions in a clear and professional manner.
  • Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics.

Who We're Looking For
Education
Currently pursuing one of the following:
  • Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field.
  • Senior undergraduate, recent graduate, or graduate student
  • Coursework in machine learning, statistics, data analysis, or programming is preferred

GPA
  • Preferred: 3.5+
  • Minimum: 3.0 cumulative GPA

Skills & Experience
Minimum Qualifications
  • Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks).
  • Foundational SQL skills for querying, joining, and transforming data.
  • Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals).
  • Introductory experience with machine learning concepts and Python-based ML libraries (e.g., scikit-learn), through coursework, projects, or internships.
  • Experience using Microsoft Excel and PowerPoint to analyze data and communicate results.
  • Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences.
  • Effective written and verbal communication skills and ability to work collaboratively on a team.

Preferred Qualifications
  • Exposure to Databricks platform and scalable data processing concepts (e.g., PySpark, Delta tables).
  • Familiarity with BI and data visualization tools, especially Power BI or Tableau, including dashboard design best practices.
  • Additional experience with advanced ML or AI frameworks (e.g., PyTorch, TensorFlow) or LLM/GenAI tooling (e.g., LangChain, OpenAI APIs) through projects or experimentation.
  • Awareness of modern data platforms or lakehouse architectures (e.g., curated vs. raw data, reproducible analytics).
  • Interest in learning how analytics connects to internal tools or lightweight applications, with optional exposure to APIs, VS Code, or basic front-end concepts over time.

What Will Help You Succeed
  • Curiosity and a proactive approach to learning new tools and technologies
  • Strong attention to detail and organization
  • Comfort working with large datasets and complex technical concepts
  • Ability to collaborate with cross functional teams, including business and IT functional teams
  • Interest in healthcare analytics, machine learning, and AI driven problem-solving

Location Requirement
Remote - must be in an approved work from home state (see career site)
Time Commitment
20 hours per week
#LI-DNI
An Equal Opportunity Employer
All BCBSLA EMPLOYEES please apply through Workday Careers.
PLEASE USE A WEB BROWSER OTHER THAN INTERNET EXPLORER IF YOU ENCOUNTER ISSUES (CHROME, FIREFOX, SAFARI)
Additional Information
Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your application, please visit the "My Applications" section in the Candidate Home section of your Workday account.
If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance.
In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free.
Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner.
Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

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