We are launching an intensive Data Science Bootcamp (10–12 weeks) and are seeking an experienced trainer to deliver the full program end-to-end.
This role requires a strong technical professional capable of covering the full data science lifecycle — from data handling and statistical analysis to machine learning, deep learning, and MLOps — with a strong emphasis on hands-on labs, real-world datasets, and project-based delivery.
Program Overview
- Duration: 10–12 weeks
- Format: Instructor-led with hands-on labs
- Delivery Mode: Classroom / Hybrid
- Focus: Practical data science, modeling, and end-to-end project delivery
Modules to Be Delivered by the Trainer
- Python & SQL Foundations
- Statistics & Math
- Decision Science (Preprocessing & Regression)
- Supervised Machine Learning
- Unsupervised Machine Learning
- Deep Learning I (Neural Networks & CNNs)
- Deep Learning II (NLP & Transformers)
- MLOps & Generative AI
- Final Project (End-to-End Data Science Solution)
- Career Skills
Role Overview
The trainer will be responsible for delivering the full bootcamp curriculum, ensuring structured progression from foundational data concepts to advanced machine learning and deployment practices, culminating in a complete end-to-end data science project.
Key Responsibilities
- Deliver all sessions across the full data science curriculum
- Design and facilitate hands-on labs, coding exercises, and mini-projects
- Provide real-world datasets and business use cases
- Support learners throughout the program lifecycle
- Evaluate assignments and provide structured, actionable feedback
- Guide participants in developing end-to-end data science projects
- Ensure consistency and progression across all modules
Required Qualifications
- Minimum 5+ years of experience in data science or related fields
- Strong proficiency in Python (pandas, NumPy, scikit-learn)
- Solid knowledge of SQL and data querying
- Strong foundation in statistics and linear algebra
- Hands-on experience with machine learning workflows and evaluation
- Experience with deep learning frameworks (TensorFlow or PyTorch)
- Knowledge of NLP and transformer models
- Experience with model deployment, CI/CD, or MLOps practices
- Familiarity with generative AI tools and applications
Teaching Requirements
- Proven experience in training, teaching, or mentoring
- Ability to explain complex concepts in a clear, structured, and practical way
- Strong emphasis on hands-on labs, coding, and real-world applications
- Experience guiding student or junior-level projects
Preferred Qualifications
- Experience delivering data science bootcamps or intensive programs
- Portfolio of real-world data science projects
- Experience mentoring junior data scientists or analysts
- Familiarity with cloud-based ML environments (AWS, GCP, Azure)
