Data Science Intern: Build Models & Dashboards

NJM Insurance Group

Trenton (NJ)

On-site

USD 29,000 - 34,000

Full time

14 days+

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Job summary

NJM Insurance Group invites you to join its IT Data Science Summer Intern Program in West Trenton, NJ. You will work closely with data scientists and stakeholders to assist in data preparation, model development, and visualization, gaining hands-on experience with modern tools.

The role includes collecting and cleaning data, supporting model testing, creating dashboards with Power BI or Databricks, writing Python scripts, and presenting findings to leaders.

Qualifications

  • Currently pursuing a Bachelor’s degree in Computer Science, Information Technology or equivalent
  • Minimum GPA of 3.0 (3.5 or above preferred)
  • Demonstrate knowledge of Power BI and Databricks
  • Demonstrate knowledge in Python programming
  • Commutable to West Trenton, NJ office

Responsibilities

  • Assist in collecting, cleaning, and preparing structured and unstructured data for analysis
  • Support development and testing of predictive models and machine learning algorithms
  • Create dashboards and visualizations to communicate insights using Power BI or Databricks
  • Write Python scripts for data manipulation, analysis, and automation using Databricks
  • Collaborate with team members to validate model performance and document findings
  • Research emerging data science technologies and evaluate their applicability within NJM’s ecosystem

Skills

Python

Education

Sophomore or Junior pursuing Bachelor's in Computer Science or Information Technology

Tools

Power BI
Databricks

Job description

NJM Insurance Group invites you to join its IT Data Science Summer Intern Program in West Trenton, NJ. You will work closely with data scientists and stakeholders to assist in data preparation, model development, and visualization, gaining hands-on experience with modern tools.

The role includes collecting and cleaning data, supporting model testing, creating dashboards with Power BI or Databricks, writing Python scripts, and presenting findings to leaders.

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