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Internship Data Modeler Jobs in Nebraska (NOW HIRING)

Partner with IT data engineering and modeling teams to embed automation and decision intelligence ... interns and lower-level analysts. The Ideal Candidate for This Role: Qualifications: * 10+ years of ...

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Contribute to leadership decision-making by enhancing financial forecasting models, assisting in ... A minimum of 1-3 years or relevant internship/academic experience in accounting, finance ...

Contribute to leadership decision-making by enhancing financial forecasting models, assisting in ... A minimum of 1-3 years or relevant internship/academic experience in accounting, finance ...

Finance Intern - GTM - NBS

Lincoln, NE · On-site

$15.50 - $20.25/hr

All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule ... Consolidate data from multiple sources to support weekly and monthly business reviews. * Enhance ...

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Internship Data Modeler information

What is the difference between Internship Data Modeler vs Data Analyst?

AspectInternship Data ModelerData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting, often in tech or finance companies, focusing on data modeling tasksOffice environment, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in companies developing databases, data warehouses, or software solutionsCommon across industries for business insights, marketing, finance, and operations

The Internship Data Modeler focuses on designing and developing data models during an internship, often with a learning component. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles require analytical skills, the internship data modeler emphasizes data structure design, whereas the data analyst emphasizes data interpretation and reporting.

What are the most commonly searched types of Data Modeler jobs in Nebraska? The most popular types of Data Modeler jobs in Nebraska are:
Data Scientist Intern - In Office, Lincoln, NE only

Data Scientist Intern - In Office, Lincoln, NE only

Sandhills Global, Inc.

Lincoln, NE • On-site

Full-time, Internship

Re-posted 18 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 17 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.

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