Data Science Intern

Job Title: Data Science Intern

Location:

Organization:

About Us

At Growth Natives, we build and scale advanced AI-driven utilities for modern marketing, sales, and RevOps functions. Our AI products range from autonomous chatbots and agentic CRM intelligence tools to RAG-based insight engines, structured data automation, and AI SEO visibility systems. We focus on deploying production-grade solutions using LLMs, Agentic AI frameworks, and scalable architecture grounded in real-world marketing tech stacks.

Internship Overview

We are seeking a technically strong and intellectually curious Data Science Intern to support the development of our AI utilities. This role will offer hands-on exposure to LLM pipelines, autonomous agents, retrieval-augmented generation (RAG), and data intelligence workflows.

Key Responsibilities

• Contribute to development and refinement of AI utilities.
• Implement and evaluate Agentic AI workflows using LangChain and LangGraph.
• Build, fine-tune, and deploy RAG pipelines with vector databases for enterprise-scale retrieval systems.
• Preprocess and manage structured/unstructured data from MySQL, MongoDB, Marketing Automation  and CRM platforms (e.g., HubSpot, Salesforce).
• Integrate AI workflows with internal tools and APIs.
• Participate in model testing, evaluation, and fine-tuning on real-world datasets.
• Collaborate with product and engineering teams to operationalize ML/AI systems.

Required Skills

• Proficiency in

  Python

  for data science, scripting, and backend automation.
• Understanding of

  core machine learning concepts

  (e.g., supervised learning, classification, model evaluation).
• Familiarity with

  Agentic AI frameworks

• Hands-on experience with

  LangChain

  and

  LangGraph

  .
• Working knowledge of

  Vector DBs

  (e.g., FAISS, Chroma, Pinecone) for RAG workflows.
• Comfort with both

  SQL

  (MySQL) and

  NoSQL

  (MongoDB) data stores.
• Version control using

  Git

  .

What You'll Gain

• Firsthand experience with agentic, production-grade AI utilities.
• Mentorship from AI engineers and product leads working on cutting-edge applied ML.
• Opportunity to contribute to real products with enterprise adoption.
• Exposure to AI in GTM strategy, MarTech, and RevOps automation.