Data Science Intern

0 years

0 Lacs

Posted:17 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Data Science Intern

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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.


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