Data Science Intern — Hybrid: ML, Forecasting & Analytics

Clarios, LLC; Glendale (CA); Hybrid; USD 25,000 - 39,000; Part time

Benefits offered by this job

Hybrid internship

Mentorship and growth opportunities

Access to company facilities (cafetera

Job summary

Clarios invites a Summer 2027 Data Science intern to join our analytics team in the Milwaukee area. You will translate business challenges into analytical questions and learn data prep, exploration, feature engineering, and model development.

You'll work with Python, SQL, Snowflake, Copilot Studio, LLMs, and Power BI, gaining exposure to forecasting, anomaly detection, and emerging AI techniques. Hybrid arrangement, up to 40 hours/week.

Qualifications

• Currently enrolled as a full‑time student pursuing an undergraduate degree in Data Science.
• Must be able to work in the greater Milwaukee area during the summer.
• Eligible to work in the US without sponsorship now or in the future.
• Up to 40 hours per week; hybrid internship with optional office days.

Responsibilities

• Partner with experienced team members to translate business challenges into analytical questions.
• Learn data preparation, exploratory analysis, feature engineering, and model development.
• Gain exposure to ML/AI techniques including forecasting, classification, anomaly detection, and generative AI.
• Present findings and recommendations to teammates and supervisors.

Skills

Python

SQL

Data science concepts

Model development

Education

Undergraduate degree in Data Science

Tools

Snowflake

Copilot Studio

Open-source LLMs

Vision Language Models

Azure Data Factory

Matillion

Power BI

Job description

Clarios invites a Summer 2027 Data Science intern to join our analytics team in the Milwaukee area. You will translate business challenges into analytical questions and learn data prep, exploration, feature engineering, and model development.

You'll work with Python, SQL, Snowflake, Copilot Studio, LLMs, and Power BI, gaining exposure to forecasting, anomaly detection, and emerging AI techniques. Hybrid arrangement, up to 40 hours/week.