Data Science & AI/ML Intern: Build & Analyze Real Datasets

Fishbeck; Grand Rapids, Northern (MI, KY); Hybrid; USD 42,000 - 62,000; Full time

Benefits offered by this job

Health insurance

Dental, Optical, Life Insurance

Short/Long-Term Disability

Job summary

Fishbeck in Grand Rapids, MI is seeking a Data Science and AI/Machine Learning Intern to join the IT team. You will collect, clean, and analyze datasets, explore ML opportunities, and create dashboards to communicate insights.

The role offers hands-on exposure to AI initiatives, NLP, and automation, with mentorship from experienced engineers and opportunities to contribute to real projects in a collaborative environment.

Qualifications

• Currently pursuing a degree in a data-related field with strong academic performance.
• Familiarity with ML concepts and statistical analysis is desirable.
• Experience with Python and data libraries; ability to explain technical ideas clearly.

Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Assist in developing machine learning models for prediction and classification.
• Support AI initiatives including NLP and automation.
• Create dashboards and visualizations to communicate insights.
• Conduct exploratory data analysis to identify patterns.
• Evaluate model performance and suggest improvements.
• Document methodologies and best practices.
• Collaborate with cross-functional teams to translate requirements into data-driven solutions.

Skills

Analytical thinking

Problem-solving

Communication

Education

Bachelor's or Master's degree in Data Science/CS/Statistics

Tools

Python

Pandas

NumPy

Scikit-learn

SQL

Job description

Fishbeck in Grand Rapids, MI is seeking a Data Science and AI/Machine Learning Intern to join the IT team. You will collect, clean, and analyze datasets, explore ML opportunities, and create dashboards to communicate insights.

The role offers hands-on exposure to AI initiatives, NLP, and automation, with mentorship from experienced engineers and opportunities to contribute to real projects in a collaborative environment.