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Internship in Data Science
In Collaboration with
In today’s data-driven world, the demand for skilled Data Scientists is higher than ever. Businesses across industries rely on data analysis, artificial intelligence, and machine learning to make informed decisions, optimize operations, and drive innovation.
Learning Saint’s 6-Month Data Science Internship is an intensive, hands-on training program designed to take you from a beginner to a highly skilled industry-ready data scientist. Whether you’re a student, a working professional, or someone looking to transition into data science, this internship provides you with the knowledge, tools, and real-world experience required to excel in the field.
This program follows a structured, project-based learning approach, covering everything from fundamental concepts to advanced techniques. By the end of the internship, you’ll have worked on 80+ real-world projects, gained expertise in data analysis, machine learning, deep learning, big data, and AI, and built a strong portfolio to showcase your skills to potential employers.
Upskill for Your Dream Job
+
Successful Interns Trained
$ K
Highest Salary Package
%
Average Salary Hike
+
Freelancing Partners
Join the Best Data Science Internship Program
Gain real-world experience in Data Science and work on 80+ industry-relevant projects that enhance business decision-making and innovation. This 6-month internship program, in collaboration with META & GEMINI, is designed for students, fresh graduates, and working professionals who want to develop a successful career in Data Science, AI, and Analytics.
Dedicated Career Services
We provide resume development, profile enhancement, career mentorship, and one-on-one career counseling to ensure you land the right data science job. Our career support workshops help you navigate the competitive job market with confidence.
Real-world Projects
Gain hands-on experience by working on 80+ industry-specific projects and case studies, specially designed by industry experts to make you job-ready. Get practical exposure to finance, healthcare, e-commerce, marketing, and cybersecurity domains.
Freelancing & Global Earning Opportunities
Our internship equips you with skills to earn through freelancing on platforms like Fiverr, Upwork, Freelancer, Toptal, and PeoplePerHour. Learn how to build a strong profile, get high-paying clients, and deliver top-notch data science solutions to businesses worldwide.
Entrepreneurial & Startup Guidance
Want to start your own data science consulting business? Our mentors guide you through building AI-driven products, setting up a freelancing agency, and monetizing your skills independently. Get insights into how top freelancers earn $5000+ per month through data-driven solutions.
Industry-Sponsored Remote Work Projects
Work on real-world projects with international clients and gain experience in remote data science roles. Build a global portfolio, enhance your credibility, and get direct access to remote job opportunities in the field of AI, ML, and Big Data.
About the Internship Program
This 6-Month Data Science Internship, in collaboration with META & GEMINI, provides a comprehensive, hands-on training experience designed to prepare you for real-world industry challenges. You will work on 80+ live projects across domains such as finance, healthcare, e-commerce, cybersecurity, and AI.
Our program is structured to help you gain practical skills, explore freelancing opportunities, and secure high-paying jobs in the field of Data Science, Machine Learning, and AI.
Key Highlights
- 6-Months Live Internship – Work on real-world projects from Day 1
- Freelancing & Global Earning Opportunities – Learn to earn on Fiverr, Upwork, Freelancer, Toptal, and PeoplePerHour
- 1:1 Mentor Sessions – Personalized guidance from industry experts
- Lifetime Membership – Access to recorded sessions, LMS, and resources
- Live Industrial Capstone & Projects – Hands-on experience with global datasets
- On-Demand Doubt Sessions – Get real-time support from mentors
Internship in Data Science – 6-Months Hands-on Learning
Objective: Gain proficiency in Python, data manipulation, basic analytics, and visualization.
Topics & Tools
- Python Fundamentals: Variables, Data Types, Functions, Control Flow
- Data Analysis Libraries: Pandas, NumPy
- Data Visualization: Matplotlib, Seaborn
- Basic SQL for Data Extraction & Queries
- Tools: Python, Pandas, scikit-learn, Matplotlib
- Tools: Python, Pandas, Seaborn
- Tools: Python, OpenCV
- Tools: Python, Pandas, Matplotlib
- Tools: Python, scikit-learn, Pandas
- Tools: SQL, Python, Pandas
- Tools: Python, Pandas, NumPy
- Tools: Python, Matplotlib, Seaborn
- Tools: Python, scikit-learn
- Tools: Python, Pandas, Seaborn
- Tools: Python, Pandas
- Tools: Python, Pandas
- Tools: Python, Requests, BeautifulSoup
- Tools: Python, NLTK, Pandas
Topics & Tools
1. Titanic Dataset (Prediction Modeling)
2. Beginner Exploratory Data Analysis on Life Expectancy
3. Color Detection for Images
4. F1 Performance Analysis
5. Predict Income with Census Data
6. Retail Data Analysis with SQL
7. Practice Data Cleaning with a Messy Dataset
8. Earth Surface Temperature Visualization
9. Who Will Survive the Titanic? (Another approach)
10. Are Sports Supplements Effective? (Statistical Analysis)
11. Toughest Sports in Terms of Skills (Data Exploration)
12. Handling Missing Values: NFL Play-by-play
13. Scrape Data for NBA Analytics
14. Basic Sentiment Analysis on Twitter Data
Mentor Support: For any questions on Python, data cleaning, or EDA, reach out to your dedicated mentor.
Objective: Strengthen your data analytics capabilities, work on ML basics, and delve into visualization on real-world datasets.
Topics & Tools
- Supervised ML: Linear/Logistic Regression, Decision Trees
- Data Visualization & Dashboards: Matplotlib, Seaborn, Power BI/Tableau
- Feature Engineering and Model Evaluation (Accuracy, Precision, Recall)
- Tools: Python, Pandas
- Tools: Python, Pandas, scikit-learn
- Tools: Python, Pandas, Seaborn
- Tools: Python, Pandas, (Optionally GeoPandas/QGIS)
- Tools: Python, Pandas, scikit-learn
- Tools: Python, scikit-learn, Pandas
- Tools: Python, Matplotlib, scikit-learn
- Tools: Python, Pandas
- Tools: Python, scikit-learn
- Tools: Python, scikit-learn
- Tools: Python, scikit-learn, (Optional: TensorFlow)
- Tools: Python, scikit-learn, Surprise (or similar)
- Tools: Python, OpenCV, scikit-learn
- Tools: Power BI or Tableau
Projects (14)
1. Airbnb Algorithms Take-Home
2. GrubHub: Best State for Growth (Analytics)
3. Airbnb Analytics Project
4. Thinking Machines: Traffic Congestion Analysis
5. Car Rental Prices Analytics
6. Customer Churn Analysis
7. Stroke Prediction Dataset (Data Visualization)
8. DoorDash Take-Home Analytics Project
9. Flowcast Credit Card Fraud Detection
10. Credit Card Approval Prediction
11. Predicting Crypto Prices with ML
12. Build a Simple Movie Recommendation System
13. Fruits Recognition (Basic Computer Vision)
14. E-commerce Sales Dashboard
Mentor Support: For doubts on analytics methods, regression/classification models, or data visualization, consult your mentor.
Objective: Tackle more complex ML tasks, including NLP, computer vision, and recommendation systems.
Topics & Tools
- Unsupervised ML: Clustering (K-Means, DBSCAN)
- NLP: Text Preprocessing, Sentiment Analysis, NLTK/spaCy
- Computer Vision: OpenCV for image processing
- Recommendation Engines & Time-Series Forecasting
- Tools: Python, NLTK/spaCy, scikit-learn
- Tools: Python, NLTK, Pandas
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, OpenCV
- Tools: Python, OpenCV
- Tools: Python, scikit-learn, Surprise or LightFM
- Tools: Python, scikit-learn
- Tools: Python, OpenCV
- Tools: Python, JSON, Pandas
- Tools: Python, scikit-learn
- Tools: Python, scikit-learn, NLTK/spaCy
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, scikit-learn, statsmodels
- Tools: Python, Rasa, spaCy
Projects (14)
1. Detecting Fake News with NLP
2. Getting Started with Text Mining
3. Cassava Leaf Disease Classification
4. Build a QR Code/Barcode Scanner
5. Transform Images into Cartoons
6. Build a Custom Recommendation Engine
7. Practice Classification with ML (Any open dataset)
8. Face-Swapping App in Python
9. UpTop: Messy JSON Processing
10. Alternative Asset Arbitrage (Advanced ML)
11. Movie Genre Classification Using NLP
12. Social Media Toxic Comment Classification
13. Time-Series Forecasting for Stock Prices
14. Chatbot with Rasa
Mentor Support: Stuck with NLP pipelines or advanced ML algorithms? Your mentor is just a message away.
Objective: Explore neural networks, CNNs, RNNs, and transformers for complex tasks like image recognition, speech processing, and GANs.
Topics & Tools
- Neural Networks: Feedforward, Convolutional (CNN), Recurrent (RNN, LSTM)
- Transformers & GPT-based Models
- Generative Models (GANs) for synthetic data/image generation
- Tools: Python, TensorFlow
- Tools: Python, YOLO, OpenCV, TensorFlow/PyTorch
- Tools: Python, TensorFlow/PyTorch, SpeechRecognition APIs
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, spaCy
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, setuptools
- Tools: Python, APIs (Alpaca, Binance), scikit-learn/TensorFlow
- Tools: Python, scikit-learn
- Tools: Python, scikit-learn, Pandas
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, OpenCV, TensorFlow/PyTorch
- Tools: Python, OpenCV, scikit-learn/TensorFlow
Projects (14)
1. Image Classifier for X-Ray Scans
2. Object Detection for Autonomous Vehicles
3. Speech-to-Text with Deep Learning
4. GAN for Face Generation
5. RNN/LSTM for Time Series Forecasting
6. Custom Named Entity Recognition (NER)
7. Machine Translation with seq2seq Models
8. Build a Python Package for Data Preprocessing
9. Build Your Own Trading Bot
10. Real Estate Investment Opportunities (Predictive Analytics)
11. Concert Ticket Reselling Analysis
12. Drone-based Farmland Monitoring (Image Classification)
13. Video Classification for Sports Highlights
14. Micro-expression Detection for Sentiment
Mentor Support: For help with deep learning architectures, debugging training issues, or hyperparameter tuning, contact your mentor.
Objective: Learn to handle large-scale data, streaming pipelines, and deploy AI solutions on the cloud.
Topics & Tools
- Apache Spark & PySpark for big data
- Streaming Data Pipelines: Kafka, Spark Streaming
- Cloud Platforms: AWS, GCP, Azure
- Containerization & Deployment: AWS, Docker, Kubernetes, Flask, FastAPI
- MLOps for continuous integration & delivery
- Tools: PySpark, Python
- Tools: PySpark, Twitter API
- Tools: AWS S3, AWS Glue, Python
- Tools: AWS Lambda, Python, scikit-learn
- Tools: Apache Kafka, Python
- Tools: Docker, Python
- Tools: Kubernetes, Docker
- Tools: Azure ML, Python
- Tools: Google Cloud (BigQuery, Dataflow), Python
- Tools: Spark NLP, PySpark
- Tools: Spark, Python, scikit-learn
- Tools: Spark, Python
- Tools: AWS EC2 (GPU), TensorFlow/PyTorch
- Tools: Jenkins, Docker, Python
Projects (14)
1. Processing Large Datasets with Spark
2. Real-time Twitter Sentiment with Spark Streaming
3. Building a Data Lake on AWS S3
4. Deploying an ML Model on AWS Lambda
5. Building a Kafka-based Data Pipeline
6. Containerizing ML Models with Docker
7. Kubernetes-based Deployment for Scaling ML
8. Azure ML for Automated ML Pipeline
9. End-to-End Data Pipeline in GCP
10. Summarizing Large Text Datasets with Spark NLP
11. Real-time Fraud Detection on Financial Transactions
12. Big Data Recommender System (E-commerce)
13. GPU Instances on AWS for Deep Learning
14. MLOps with Jenkins & Docker
Mentor Support: Unsure about Spark, AWS deployment, or MLOps pipelines? Get personalized help from your mentor.
Objective: Consolidate all skills into a capstone project, build your freelancing profile, and prepare for job placements or remote gigs.
Topics & Tools
- Capstone Project: Full end-to-end data science solution
- Freelancing Platforms: Upwork, Fiverr, Freelancer, Toptal
- Personal Branding: GitHub, LinkedIn, Resume Building
- Advanced Project Management & Client Handling
- Tools: Python, scikit-learn/TensorFlow, EHR dataset
- Tools: Spark, Python, scikit-learn
- Tools: Python, scikit-learn, deep learning frameworks
- Tools: Python, Computer Vision, OpenCV
- Tools: Python, Rasa, Hugging Face Transformers
- Tools: Python, PyTorch, CARLA environment
- Tools: Python, SpeechRecognition, NLP libs
- Tools: Python, OpenCV, YOLO
- Tools: Python, TensorFlow/PyTorch
- Tools: Python, scikit-learn, sensor data
- Tools: Python, scikit-learn
- Tools: Python, RL libraries, trading APIs
- Tools: Spark, Python, scikit-learn
- Tools: Upwork, Fiverr, GitHub, LinkedIn
Projects (14)
1. End-to-End AI-based Healthcare Diagnostics
2. Large-Scale Recommender System for E-commerce
3. AI-Driven Cybersecurity Threat Detection
4. Deploying an ML Model on AWS Lambda
5. Advanced Chatbot with GPT-based Models
6. Self-Driving Car Simulation (CARLA)
7. Virtual Personal Assistant (Speech & NLP)
8. Video Analytics for Retail Footfall & Behavior
9. Automatic Speech Recognition with Transformer Models
10. Smart Farming with IoT & AI
11. Personalized Nutrition & Diet Recommendation System
12. Automated Trading Bot (Reinforcement Learning)
13. Real-time Weather Forecasting with Big Data & AI
14. Creating a Freelancing Portfolio & Bidding Strategy
Mentor Support: Get help finalizing your capstone, setting up freelancing profiles, or refining your portfolio.
- 84 Real-World Projects spanning Data Cleaning, Analytics, ML, AI, Big Data, and Deployment.
- Dedicated Mentor Support after each module for doubts, debugging, and project feedback.
- Freelancing & Global Earning Opportunities: Learn how to market your skills on Upwork, Fiverr, Freelancer, Toptal, etc.
- Capstone & Career Guidance: Final month dedicated to building your portfolio, refining your resume, and preparing for job placements or remote gigs
- Apply Now and start your 6-month journey toward mastering data science and unlocking freelancing opportunities worldwide!
Who Can Apply for the Data Science Internship?
- This 6-Month Data Science Internship is designed for individuals who want to gain real-world project experience and build a strong portfolio to kickstart their career in Data Science, AI, and Machine Learning.
- Students & Fresh Graduates looking to gain hands-on experience and strengthen their data science portfolio.
- IT Professionals & Software Engineers aiming to transition into Data Science, AI, or Machine Learning roles.
- Freelancers & Entrepreneurs who want to offer data-driven solutions on platforms like Upwork, Fiverr, and Freelancer.
- Career Switchers looking to move into the high-demand field of Data Science and AI.
- Developers & Project Managers who want to integrate data analytics, automation, and AI-driven insights into their projects.
- Business & Finance Professionals who want to leverage data analytics and predictive modeling in their fields.
- Anyone with a passion for AI & Data Science who wants to work on real-world projects and become job-ready.
- No prior experience in data science is required – all you need is a strong willingness to learn and work on real projects!
- Apply Now & Kickstart Your Data Science Career with Hands-On Internship Experience!
What roles can a person trained in Data Science & Artificial Intelligence play?
Senior Data Scientist
Understand the issues and create models based on the data gathered, and also manage a team of data scientists.
AI Expert
Build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.
Machine Learning Expert
With the help of several machine learning tools and technologies, build statistical models with huge chunks of business data.
Applied Scientist
Design and build machine learning models to derive intelligence for the numerous services and products offered by the organization.
Big Data Specialist
Create and manage pluggable service-based frameworks that are customized in order to import, cleanse, transform, and validate data.
Senior Business Analyst
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Skills to Master
Python
Data Science
Data Analysis
AI
GIT
MLOps
Data Wrangling
SQL
Story Telling
Machine Learning
Prediction algorithms
NLP
PySpark
Model
Data visualization
Tools to Master
Languages and Tools Covered
Specializations & Electives Overview
Banking, Finance, & Insurance: Dive into projects like Churn Analysis, Risk-Reward Assessment, Stock Market Analysis, and Fraud Detection to grasp fundamental concepts in BFSI.
Ecommerce & Marketing: Explore Customer Lifetime Analysis, Ad Campaign Evaluation, Market Basket Analysis, and Dynamic Pricing strategies in this field.
Healthcare & Pharmacy: Explore Payer and Provider Analytics, as well as Analytics applied in the Pharmaceutical Industry to gain insights into essential Healthcare principles.
HR & Operations: Engage in Attrition Analysis, Promotion Assessment, Productivity Evaluation, and Resource Optimization to comprehend core BFSI principles in a different context.
Participate in Weekday Problem-Solving Sessions led by Industry Experts
Engage in problem-solving sessions guided by industry professionals throughout the weekdays.
Enhance problem-solving skills through active participation on platforms like HackerRank and HackerEarth.
Acquire daily insights into new problem-solving techniques and strategies.
Access personalized doubt resolution sessions whenever needed to ensure continual learning and growth.
Alumni Highlights
-
200+Global Companies
-
$122K PAAverage CTC
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$250K PAHighest CTC
-
87%Average Salary Hike
Top Data Science Case Studies for Learning Saint
Estimating Credit Risk through Data Analysis and Visualization
Analysing Banking Dataset: This case study involves utilizing Data Analysis and Visualization techniques on a banking dataset to assess the Credit Risk associated with individual borrowers. By conducting this study, the aim is to assist the bank in evaluating and managing the risk linked to its loan borrowers.
Data Cleansing and Enrichment for a Job Portal:
Enhancing a Job Portal Dataset: This case study focuses on Data Cleansing and Processing for a large-scale Job Portal Dataset. The objective is to prepare the data for further analysis and machine learning model training. The outcome aims to empower the job portal with clean, enriched data for informed decision-making and implementation of various AI algorithms to gain profound insights.
Evaluating Dimensionality Reduction Techniques in Healthcare Data:
Assessing Dimensionality Reduction: This case study involves the comparison of various Dimensionality Reduction methods using a high-dimensional Healthcare Dataset. The goal is to apply different algorithms to evaluate information loss in each case. This study aims to determine the effectiveness of Dimensionality Reduction techniques and their applicability in managing high-dimensional data in healthcare analysis.
By the End of This Internship, You’ll Achieve:
Real-World Experience in working with diverse datasets across industries like finance, healthcare, e-commerce, and cybersecurity.
Mastery in Data Handling, including data cleaning, preprocessing, and feature engineering for structured and unstructured datasets..
Proficiency in Data Visualization, creating interactive dashboards using Power BI, Tableau, Matplotlib, and Seaborn to drive business insights.
Hands-on Experience in Machine Learning & AI, implementing supervised, unsupervised, and deep learning models for real-world applications.
In-depth Understanding of NLP & Time Series Forecasting, working with chatbots, sentiment analysis, and predictive analytics.
Strong SQL & NoSQL Database Knowledge, efficiently managing and querying structured and unstructured data.
Expertise in Big Data & Cloud Technologies, using Apache Spark, AWS, and Google Cloud for large-scale data processing and deployment.
Ability to Deploy AI Models, integrating Flask, FastAPI, Docker, and Kubernetes for model deployment and automation.
Freelancing & Job Readiness,with a strong portfolio of 80+ real-world projects, making you a top candidate for data science roles or freelance opportunities on Upwork, Fiverr, Freelancer, and Toptal.
Join this Internship to Gain Practical Experience & Become Job-Ready in Data Science! 🚀
Data Science Batch Profile
Career Support and Mentorship
Receive personalized feedback on weekly assignments and case studies from leading industry and subject matter experts.
Engage in multiple mock interviews conducted by Kaggle Grandmasters and seasoned Data Scientists representing startups.
Benefit from lifelong access to the Learningsaint Learning Portal, ongoing support from the Learningsaint Alumni Network, and dedicated placement services.
Participate in over 20 guided industry projects and case studies led by domain and subject matter experts, providing a step-by-step learning experience.
Access the Learning Saint Learning Portal for a lifetime, along with continuous support from the Learning Saint Alumni Network and placement services.
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Learning management system, combines a wide range of features to present
a class setting without having the students come into a physical
classroom. It all depends on the WordPress LMS plugin you go with, but
in general.
Learning management system, combines a wide range of features to present
a class setting without having the students come into a physical
classroom. It all depends on the WordPress LMS plugin you go with, but
in general.
Learning management system, combines a wide range of features to present
a class setting without having the students come into a physical
classroom. It all depends on the WordPress LMS plugin you go with, but
in general.
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