Senior Data Scientist + Instructor

Newton School; Pune District; On-site; INR 2,600,000 - 5,200,000; Full time

Job summary

Newton School in Pune, India seeks a Senior Data Scientist + Instructor to join the Computer Science Department. The role blends hands-on AI/ML work with academic duties, including designing and delivering course content, practical labs, and mentoring students in AI/ML concepts.

The ideal candidate holds an M.Tech or PhD in a quantitative field with 4+ years of industry AI/ML experience, and an ability to teach and mentor across classes and projects.

Qualifications

• M.Tech or PhD in CS, Data Science, AI/ML, Eng, or related quantitative field is mandatory.
• 4+ years of direct, hands-on professional AI/ML industry experience.
• Proven experience building, training, deploying ML models (including deep learning) for real-world problems.
• Strong grasp of core ML algorithms (classical and deep learning - CNNs, RNNs, Transformers).
• Passion for teaching/mentoring; prior mentoring, corporate training, or project supervision is highly relevant.

Responsibilities

• Teach Applied AI/ML with practical, project-based courses.
• Develop Industry-Relevant Curriculum reflecting current tools and best practices.
• Mentor Student Projects with technical direction, code reviews and feedback.
• Guide Students on internships and job placements; advise on career paths in AI/ML.
• Stay current with AI/ML research, tools and industry trends.
• Collaborate with faculty and staff to ensure a unified learning experience.
• Assess practical skills through assignments and projects.

Skills

Python programming

Teaching/Mentoring

Project supervision

Team collaboration

Mathematical/statistical understanding

Education

M.Tech or PhD in Computer Science / Data Science / AI/ML / Engineering

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Git

Docker

AWS/GCP/Azure

NLP/Computer Vision/GenAI/LLMs

Job description

We are currently looking for a Senior Data Scientist + Instructor to join our Computer Science Department. This role is ideal for academic professionals with substantial industry experience or tech professionals with advanced technical qualifications who are passionate about Artificial Intelligence and Machine Learning. The position combines hands-on technical expertise with academic responsibilities, including designing and delivering course content, conducting practical lab sessions, and mentoring students in core Data Science and AI/ML concepts.

Responsibilities:

• Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, MLOps, GenAI).
• Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
• Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
• Guide and Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
• Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
• Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
• Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.

Requirements:

• Mandatory Academic Qualification: An M. Tech or PhD in Computer Science, Data Science, AI/ML, Engineering, or a strictly related quantitative field is mandatory.
• Professional Experience: 4+ years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or a similar role involving AI/ML development and deployment.
• Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
• Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical and deep learning - CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
• Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant.

Technical Skills:

• Expert-level Python programming.
• Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
• Strong SQL and data handling skills.
• Understanding of MLOps practices and tools (Git, Docker, AWS/GCP/Azure).
• Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).