Chemical Engineering - Internship

About the internship:Selected intern's day-to-day responsibilities include:

Analyze and preprocess chemical/process datasets using Python and statistical techniques.

Develop, train, and evaluate Machine Learning and Deep Learning models for prediction and process optimization.

Apply Chemical Engineering knowledge to identify relevant process parameters, features, and patterns.

Perform data visualization, exploratory analysis, and communicate actionable insights from complex datasets.

Collaborate with engineering and AI teams to develop and implement data-driven solutions for real-world industrial problems.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 6th Oct'26 and 10th Nov'26are available for duration of 3 monthshave relevant skills and interests* Freshers looking for jobs may also applyStipend:INR₹ 10,000 - 20,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Free snacks & beverages, Job offerSkills required:Python and Machine LearningAbout Company:Digitwin is a digital transformation company for the manufacturing and process industries. A young and dynamic team using AI, IoT, cloud technologies to create 'Digital Twins'.Additional information:Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 300000 to 600000/year

Responsibilities

Selected intern's day-to-day responsibilities include:

Analyze and preprocess chemical/process datasets using Python and statistical techniques.

Develop, train, and evaluate Machine Learning and Deep Learning models for prediction and process optimization.

Apply Chemical Engineering knowledge to identify relevant process parameters, features, and patterns.

Perform data visualization, exploratory analysis, and communicate actionable insights from complex datasets.

Collaborate with engineering and AI teams to develop and implement data-driven solutions for real-world industrial problems.