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Internship Coursera Data Science Jobs in Nebraska

$14.25 - $19/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

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$14.25 - $19.25/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

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Internship Coursera Data Science information

Is a data science internship worth it?

A data science internship provides practical experience with tools like Python, R, and SQL, and helps develop skills in data analysis, machine learning, and communication. It can improve job prospects, build a professional network, and often leads to full-time opportunities. The value depends on the internship's quality and how well it aligns with career goals.

What is the difference between Internship Coursera Data Science vs Data Analyst?

AspectInternship Coursera Data ScienceData Analyst
Required CredentialsCoursera Data Science certification, basic programming skillsBachelor's in related field, often with data analysis tools knowledge
Work EnvironmentOnline, project-based, often part-time or temporaryOffice or remote, ongoing role within organizations
Employer & Industry UsageEducational platforms, startups, tech companies for trainingBusinesses across industries for data-driven decision making
Search & Comparison IntentLearning, entry-level experience, career explorationJob opportunities, skill requirements, career advancement

Internship Coursera Data Science provides foundational knowledge and practical experience through online courses, ideal for beginners. Data Analyst roles involve applying analytical skills in real-world settings within organizations. While internships focus on learning, data analyst positions are ongoing jobs requiring more experience and responsibility.

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Re-posted 12 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing


Job description

Data Scientist Intern - In Office, Lincoln, NE only
Lincoln, Nebraska, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself. Assume other duties as assigned.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

What Sandhills Global employees say

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