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Remote Data Science Generative AI Intern Job
NovaGrid Analytics is hiring a remote Data Science & Generative AI Intern to support machine learning experiments, data preparation, and AI-assisted automation projects. This internship is designed for students or early-career candidates interested in working with large language models, predictive analytics, and real-world business datasets. Interns will assist with data cleaning, prompt testing, model evaluation, and research documentation while collaborating with engineers and analytics specialists. Candidates searching for remote data science internships, generative AI intern jobs, or machine learning internship opportunities will gain practical exposure to modern AI workflows and cloud-based development environments.
Job Overview:
Job Title: Data Science & Generative AI Intern
Company: NovaGrid Analytics
Location: Remote
Job Type: Internship / Full-Time Internship
Experience Level: Student / Entry-Level
Salary Range: $1,200 – $2,000 per month (Stipend)
Role Context:
The internship program supports NovaGrids AI research and business automation initiatives focused on customer analytics and internal productivity tools. Interns work within a distributed team that includes data scientists, ML engineers, and product analysts. Current projects involve testing retrieval-based AI systems, analyzing user interaction data, and evaluating generated outputs for consistency and accuracy. Interns report to a senior data scientist and participate in weekly review sessions where datasets, model behavior, and experimental findings are discussed collaboratively.
Responsibilities:
Assist with cleaning, organizing, and preparing structured datasets for analysis
Support prompt engineering and testing activities for generative AI workflows
Evaluate AI-generated responses and document output quality observations
Build simple dashboards, reports, or visual summaries using analytics tools
Participate in machine learning experiments and data validation processes
Research findings and experiment notes must be maintained in shared documentation systems
Collaborate with engineering teams on automation and model integration tasks
Help identify data inconsistencies and preprocessing issues during project development
Contribute to internal presentations related to AI model performance and insights
Requirements & Skills:
Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or related field
Familiarity with Python, SQL, or data analysis libraries such as Pandas or NumPy
Basic understanding of machine learning concepts and generative AI models
Comfortable working with spreadsheets, datasets, and online collaboration tools
Interest in prompt engineering, LLM evaluation, or AI-assisted automation
Strong analytical thinking and attention to detail
Ability to communicate technical findings clearly in written form
Experience with Jupyter Notebook, Google Colab, or GitHub is beneficial
Self-motivated work style suitable for remote collaboration environments
Benefits & Work Conditions:
Fully remote internship with flexible working hours
Mentorship from data scientists and AI engineers
Hands-on exposure to real-world AI and analytics projects
Access to cloud-based development and experimentation tools
Internship certificate and performance review upon completion
Opportunity to contribute to production-level AI research initiatives
Potential consideration for future full-time data science roles
Candidate Fit:
This internship suits curious learners who enjoy experimenting with data, testing AI systems, and solving technical problems through analysis. Candidates who ask thoughtful questions, adapt quickly to new tools, and work consistently on research tasks are likely to benefit from the experience. Applicants exploring remote data science internships, generative AI responsibilities, or entry-level machine learning careers may find this opportunity valuable for skill development.
About the Company:
NovaGrid Analytics develops AI-driven reporting and automation solutions for digital businesses, SaaS platforms, and operations teams. The company focuses on combining predictive analytics with generative AI systems to improve workflow efficiency and customer insights. Its remote engineering and data teams collaborate across multiple countries, using cloud-based tools to build scalable analytics products and AI-powered business applications.
Application Guidance:
Applicants should submit an updated resume along with links to relevant academic projects, GitHub repositories, Kaggle work, or portfolio samples if available. Candidates are encouraged to mention coursework related to machine learning, statistics, natural language processing, or AI systems. Shortlisted applicants may complete a technical assessment and virtual discussion with the data science team.
