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Data Scientist + Associate Instructor

Newton SchoolBengaluru, Karnataka, IndiaPosted 18 May 2026

Newton School is hiring a Data Scientist and Associate Instructor to teach Applied AI/ML and develop industry-relevant curriculum. The core responsibilities include designing project-based courses, mentoring student projects, and integrating real-world industry trends into the classroom. Candidates must possess expert Python skills and hands-on experience with ML/DL frameworks and MLOps tools. This role offers an opportunity to combine technical AI expertise with a passion for education.

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Experience

1+ years

Function

Research

Work mode

Onsite, India

Company

Tier 2

What you will work on

Newton School is hiring a Data Scientist and Associate Instructor to teach Applied AI/ML and develop industry-relevant curriculum. The core responsibilities include designing project-based courses, mentoring student projects, and integrating real-world industry trends into the classroom. Candidates must possess expert Python skills and hands-on experience with ML/DL frameworks and MLOps tools. This role offers an opportunity to combine technical AI expertise with a passion for education.

TAL's take

Quality 55/1005/5 clarityTier 2 company

Solid role at a recognizable Indian edtech company, though the dual teaching-science nature limits deep industry research impact.

The role is clearly defined as a blend of industry AI application and educational curriculum delivery.

Salaries at Newton School

16.3 LPA average

Based on 10 Grapevine salary entries for Newton School.

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Must haves

  • 1+ years professional experience in AI/ML engineering or data science
  • Expert-level Python programming
  • Proficiency with Pandas, NumPy, and Scikit-learn
  • Hands-on experience with TensorFlow or PyTorch
  • Strong SQL and data handling skills
  • Bachelor’s or Master’s degree in CS, Engineering, or Data Science

Tools and skills

pythonpandasnumpyscikit-learntensorflowpytorchsqlgitdockerawsgcpazure

About the company

Newton School is an established edtech platform in India focused on upskilling.

Posts mentioning Newton School

Newton School fake placements

Software Engineers50

[Thread] What is your favourite math equation?

TLDR: I was reading up on the Navier Stokes equations today and it is so elegant that it might be my favourite math equation. Equation 1: ∇u = 0 (conservation of mass) states that the divergence of the velocity vector u is zero, meaning there is no net change in fluid mass. Equation 2: ρ Du/Dt = -∇p + μ∇^2 u + ρF (conservation of momentum) expresses Newton's second law for fluid flow. It balances the acceleration of fluid particles (LHS) with internal forces (pressure and viscosity) and external forces (gravity or other external influences) on the RHS. This equation is foundational for modelling various fluid dynamics scenarios, from celestial bodies like stars and galaxies to F1 cars. Long Version: Here's how it works: Equation 1: ∇u = 0 (conservation of mass) So, u is velocity that can be represented as (u,v,w) vector, where u,v,w are x,y,z components of the vector. ∇u tells us that we need to do a partial derivative on u. So, ∇u = ∂u/∂x + ∂v/∂y + ∂w/∂z = 0 or, the partial derivative of every component wrt corresponding direction is 0. Equation 2: ρ Du/Dt = -∇p + μ∇^2 u + ρ F (conservation of momentum) LHS: Since, u is velocity, then Du/Dt is acceleration and ρ is density. Newton's second law, F = m x a, applies here. Wherein, Du/Dt is acceleration of fluid particles and m is the density of the fluid. RHS: -∇p + μ∇^2 are the internal forces of particles hitting into each other while F represents the external force. F in most cases is gravity, so one can replace it with g. However, if you put in electromagnetism then, you can combine Navier-Stokes with Maxwell's equations. This has over time led to the development of magnetohydrodynamics, ie how stars and galaxies form. You can model the growth of our sun with this. ∇p is our pressure gradient and represents the change in pressure. Essentially, fluids move from high pressure to low pressure. μ∇^2 represents viscous forces yielding from viscosity. Imagine this can model aerodynamics of F1 cars.

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