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Data Science Intern Jobs in Monroe, LA (NOW HIRING)

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Data Science Intern information

See Monroe, LA salary details

$11

$21

$40

How much do data science intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data science intern in Monroe, LA is $21.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.61 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What job categories do people searching Data Science Intern jobs in Monroe, LA look for?

The top searched job categories for Data Science Intern jobs in Monroe, LA are:

What cities near Monroe, LA are hiring for Data Science Intern jobs?

Cities near Monroe, LA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Monroe, LA as of August 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,027 per year, or $21.6 per hour.

Intern Data Engineers - AI & Analytics - 2027

IBM

Monroe, LA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

124th of 245 rated software companies


Job description

Introduction
As an IBM Consulting FutureNow Center Intern, you'll work alongside experienced
professionals to help solve real business and technology challenges for clients
around the world. You'll gain hands-on experience, build in-demand technical and
professional skills, and contribute to meaningful projects while learning in a
collaborative, team-based environment.
This internship is designed to provide meaningful, hands-on experience that
prepares students for a potential full-time career with IBM Consulting upon
graduation.
In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
As an Intern Data Specialist at IBM, you'll gain hands-on experience helping organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You'll work alongside experienced IBM professionals while developing practical technical, analytical, and problem-solving skills that prepare you for a future career in data engineering, Artificial Intelligence, and enterprise consulting.
As part of this opportunity, you will be aligned to the following practice:
AI, Analytics, Automation & Data Services - focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI-driven solutions that improve business performance and decision-making.
Data is the foundation of Artificial Intelligence and digital transformation. During your internship, you'll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful business outcomes.
No two projects are exactly alike. You may contribute to projects supporting clients across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.
Throughout your internship, you'll collaborate with experienced data specialists, data engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands-on project experiences, and AI-enabled tools, you'll strengthen your technical capabilities, analytical thinking, and professional skills while building a strong foundation for a future career at IBM.
During your internship, you may have opportunities to:
Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making.
Assist experienced team members with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and Artificial Intelligence solutions.
Analyze structured and unstructured data to identify trends, generate insights, and support business decision-making.
Collaborate with cross-functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
Assist with testing, validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.
To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Required education
High School Diploma/GED
Required technical and professional expertise
Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related
field.
Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies through coursework, projects, research, internships, or personal learning.
Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, academic projects, research, hackathons,
student organizations, personal learning, certifications, IBM SkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.
You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.
Bring your curiosity. Grow your skills. Build what's next, like an IBMer.
Preferred technical and professional experience
Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects,
research, hackathons, or internship experiences.
Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
Interest in Artificial Intelligence, Generative AI, data-driven decision-making, consulting, and continuous learning.
Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.
ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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