Data Science Intern at SproutsAI

Job Description

About SproutsAI

SproutsAI is a fast-growing startup specializing in artificial intelligence and machine learning technologies to create cutting-edge solutions that help businesses automate and optimize their processes. We aim to bring innovative AI solutions to a wide range of industries, offering scalable and efficient products. At SproutsAI, we foster a culture of learning, collaboration, and innovation, making it an ideal place for aspiring technologists to grow and make an impact.

Role Overview

We are seeking a passionate and curious Data Science Intern to join our remote team. This role is perfect for someone with 0–1 year of experience who wants to build a strong foundation in real-world data science and machine learning applications. As an intern, you will collaborate with experienced data scientists and engineers on high-impact projects that power intelligent solutions across multiple domains. You’ll gain hands-on experience in data processing, model development, and building scalable pipelines, all while learning in a supportive, fast-paced environment.

Roles And Responsibilities

Assist in collecting, cleaning, and preprocessing structured and unstructured data
Work with senior data scientists to develop, train, and validate machine learning models
Contribute to exploratory data analysis (EDA) and data visualization
Support building end-to-end data pipelines for model deployment
Document workflows, methodologies, and outcomes in a clear and organized manner
Research and experiment with new ML techniques and tools
Collaborate across teams including engineering, product, and design to integrate AI solutions into production

Requirements

Bachelor`s degree (completed or in final year) in Computer Science, Data Science, Statistics, Engineering, or related field
Strong foundation in Python and commonly used libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib)
Familiarity with SQL and database querying
Basic understanding of machine learning concepts and algorithms
Problem-solving mindset and ability to work independently in a remote setup
Good communication and documentation skills

Nice to Have

Exposure to deep learning frameworks (TensorFlow, PyTorch)
Experience with version control tools like Git
Familiarity with cloud platforms (AWS, GCP, or Azure)
Participation in Kaggle competitions or open-source data projects

What You’ll Gain

Real-world experience working on live AI,ML projects
Mentorship from senior engineers and data scientists
A collaborative, feedback-driven remote work culture
Opportunity to convert to a full-time role based on performance
Skill-building and career development in the field of data science and machine learning

Desired Skills and Experience
Python Programming, Machine Learning, Model Development, SQL Querying, KEDA, Pipeline Building, Data Cleaning, Data Preprocessing, Data Visualizations, Data Analysis, Documentation, Teamwork, Problem Solving, Independent Work, Communication