✦ Luna Orbit — Data & Analytics

Innovation & Data Science Internship (Remote)

at Businessolver

📍 Remote, US Remote Posted April 15, 2026
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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 (currently pursuing)
Category Data & Analytics

About this role

Join the Innovation Works and Science team as a Data Science Intern supporting advanced analytics and data-driven product improvements. Help with data collection, cleaning, analysis, and contribute to developing, testing, and evaluating machine learning and LLM models.

Key Responsibilities

  • Support data collection, cleaning, transformation, and exploratory analysis
  • Assist in developing, testing, and improving machine learning and LLM models
  • Evaluate model behavior, output quality, and performance across approaches
  • Refine prompts, evaluation criteria, and testing workflows
  • Build reports, visualizations, and dashboards to communicate insights

Technical Overview

Contribute to end-to-end analytics work: data cleaning/transformation, exploratory analysis, and model development. Support machine learning and LLM model improvement by refining prompts and evaluation criteria, and communicate results via reports, visualizations, and dashboards using Python/R and SQL.

Ideal Candidate

The ideal candidate is a current Bachelor’s or Master’s student in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, or Machine Learning) with strong Python/R skills and working SQL knowledge. They understand statistics and machine learning fundamentals, can contribute to data cleaning and exploratory analysis, and can help develop, test, and evaluate machine learning and LLM models.

Must-Have Skills

Currently pursuing a Bachelor's or Master's degree in Data ScienceComputer ScienceStatisticsMathematicsMachine Learningor a related quantitative fieldStrong programming skills in Python/R and working knowledge of SQLSolid understanding of statisticsdata analysisand machine learning fundamentalsAbility to work independently and collaboratively in a fast-paced environmentAvailable to work 40 hours per week during the internship period

Nice-to-Have Skills

Not specified

Tools & Platforms

PythonRSQL

Required Skills

data collectiondata cleaningdata transformationexploratory analysismachine learningLLM modelsprompt refinementevaluation criteriatesting workflowsmodel behavioroutput qualityperformance evaluationreportsvisualizationsdashboardsPythonRSQLstatisticsdata analysismachine learning fundamentalscross-functional collaborationdocumentation of methods and experiment results

Hard Skills

data collectiondata cleaningdata transformationexploratory analysismachine learning model developmentmachine learning model testingmachine learning model improvementLLM modelsprompt refinementevaluation criteriatesting workflowsmodel behavior evaluationoutput quality evaluationmodel performance evaluationreport buildingvisualizationsdashboardsdata-driven product improvementsdata documentationexperiment results documentationdata sciencePythonRSQLstatisticsdata analysismachine learning fundamentals

Soft Skills

highly motivateddetail-orientedindependently and collaborativelyexcellent written and verbal communication skillsproblem-solvinganalytical thinkingability to prioritize multiple tasksself-motivatedwork in a fast-paced environmentcross-functional collaborationteam collaboration

Industry & Role

Industry SaaS
Job Function Develop and evaluate data science models and analytics to improve products
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL

Keywords for Your Resume

Innovation & Data Science InternshipData Science Interndata collectiondata cleaningdata transformationexploratory analysismachine learningLLM modelsprompt refinementevaluation criteriatesting workflowsmodel behavioroutput qualityperformancereportsvisualizationsdashboardsPythonRSQLstatisticsdata analysismachine learning fundamentalscross-functional teamsexperiment results40 hours per weekremoteLLMprompt

Deal Breakers

Must be currently pursuing a Bachelor's or Master's degree in a listed quantitative field, Must have strong programming skills in Python/R and working knowledge of SQL, Must be available to work 40 hours per week during the internship period

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