✦ Luna Orbit — Data & Analytics

Innovation & Data Science Internship (Remote) New

at Businessolver

📍 Remote, US Remote Posted April 15, 2026
Apply Now → ← Browse All Jobs

Position Details

Type Internship
Experience intern
Exp. Years Not specified
Education Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field
Category Data & Analytics

About this role

Businessolver is seeking a Data Science Intern to support its Innovation Works and Science team. The intern will assist with data collection, cleaning, exploratory analysis, and development and evaluation of machine learning and LLM models, while translating business questions into analytical outputs like reports and dashboards.

Key Responsibilities

  • Support data collection, cleaning, transformation, and exploratory analysis
  • Develop, test, and improve machine learning and LLM models
  • Evaluate model behavior, output quality, and performance
  • Refine prompts, evaluation criteria, and testing workflows
  • Build reports, visualizations, and dashboards; document methods and results

Technical Overview

The internship focuses on end-to-end analytics work: data collection, cleaning, transformation, and exploratory analysis, plus model development and evaluation for machine learning and LLM models. The intern will refine prompts and testing workflows, assess model behavior and performance, and communicate results through reports, visualizations, and dashboards using Python/R and SQL.

Ideal Candidate

The ideal candidate is a current undergraduate or graduate student pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field. They have strong Python and/or R skills, working knowledge of SQL, and a solid understanding of statistics, data analysis, and machine learning fundamentals, with experience supporting model development and evaluation.

Must-Have Skills

Currently pursuing a Bachelor’s or Master’s degree in Data ScienceComputer ScienceStatisticsMathematicsMachine Learningor a related quantitative field.Strong programming skills in Python/R and working knowledge of SQL.Solid understanding of statisticsdata analysisand machine learning fundamentals.Ability to work 40 hours per week during the internship period

Required Skills

data collectiondata cleaningdata transformationexploratory analysismachine learningLLM modelsmodel developmentdeep-dive analysisprompt refinementevaluation criteriatesting workflowsreportsvisualizationsdashboardsdocumentationexperiment resultsrecommendationsPythonRSQLstatisticsdata analysismachine learning fundamentalscommunication

Hard Skills

data collectiondata cleaningdata transformationexploratory analysismachine learningmachine learning model developmentLLM modelsdeep-dive analysismodel behavior evaluationoutput quality evaluationmodel performance evaluationprompt refinementevaluation criteriatesting workflowsbuilding reportsvisualizationsdashboardsdocumentation of methodsexperiment resultsrecommendationsPythonRSQLstatisticsdata analysismachine learning fundamentalscommunication with technical and non-technical stakeholders

Soft Skills

detail-orientedproblem-solving skillsattention to detailanalytical thinkingexcellent written and verbal communication skillsability to work independentlycollaborativelyself-motivatedability to prioritize multiple tasks

Industry & Role

Industry SaaS
Job Function Perform analytics and model-support work to improve data-driven products using machine learning and LLM evaluation.
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL

Keywords for Your Resume

Data Science InternInnovation Works and Science teamdata collectiondata cleaningdata transformationexploratory analysismachine learningmachine learning engineersmodel developmentLLM modelsdeep-dive analysismodel behavioroutput qualityperformance evaluationprompt refinementevaluation criteriatesting workflowsreportsvisualizationsdashboardsdata-driven product improvementsPythonRSQLstatisticsdata analysismachine learning fundamentalsdocumentationexperiment resultsrecommendations40 hours per week

Deal Breakers

Not currently pursuing a Bachelor’s or Master’s degree in a relevant quantitative field, No strong programming skills in Python/R or working knowledge of SQL, Not able to work 40 hours per week during the internship period

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile