Part Time Faculty - Data Science Instructor

Position Summary

Role: Online Instructor

Location: Remote (Online)

Employment Type: Project Contractor / Consultant

Duration: 3 months (25 August 2025 - 20 November 2025)

Potential longer-term engagement based on candidate performance

Availability Window: 12:00 PM - 4:00 PM IST

Compensation: ~INR 1.5 lakhs per month (INR 4.5 - 5 Lakhs for the entire duration)

Role Description:

As the Data Science Instructor, you will train students to address a critical need in the market, where companies are actively seeking professionals who can analyze complex datasets, build impactful machine learning models, and communicate actionable insights to drive real business outcomes.

The Online Instructor will lead an interactive, hands-on Data Science Boot Camp. They are expected to engage students for 4 hours per day, 5 days per week. This engagement window will include:

Delivering engaging live sessions based on a pre-designed curriculum (See Appendix for a detailed list of topics). Live sessions are expected to be ~2 hours per day.

Actively engaging with students, answering questions, and providing assistance with exercises, projects, and assignments.

Conducting open office hours to resolve student queries

Integrating interactive elements such as quizzes, demonstrations, practice exercises, and presentations during the sessions

Mentoring and guiding students throughout the program, offering academic and career support.

Encouraging collaboration and critical thinking by guiding students through challenges and fostering a growth mindset.

Managing check-ins, taking attendance, and maintaining accurate student records.

Providing constructive feedback on student progress and performance.

Facilitating hands-on exercises and real-world projects to reinforce learning.

Staying updated with the latest trends and advancements in this field.

Offer ongoing student support via email.

NOTE - The instructor is expected to provide the above support within the 4-hour window daily.

Who are we looking for ?

Educational Background

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, or a related field from a recognized institution (Tier-1 institutions such as IITs, NITs, BITS, or equivalent universities preferred).

Recent certifications or coursework in relevant areas such as Data Science, Machine Learning, Python Programming, or Cloud Platforms (e.g., AWS, Azure) are a plus.

Must have advanced experience with relevant tools/languages (Python - NumPy/Pandas, Data Visualization Tools - Tableau/PowerBI, Database Management - MongoDB/NoSQL)

Professional Experience

The candidate must have at least 5 years of combined experience in both corporate and academic/teaching roles -

Industry Experience -

Must have industry experience in Data Science or a related domain, preferably in leading technology MNCs such as Genpact, IBM, Infosys, Accenture, Deloitte, Amazon, etc.

Should have held roles Data Engineer, Data Architect, Data Engineer, Data Analyst, Business Intelligence Analyst, Data Scientist, Machine Learning

Should have demonstrated experience working in Machine Learning/Deep Learning, ML Ops, API/App Development, AWS Cloud, and Project Management

Good to have experience working with global teams based in the Americas or EMEA regions

Teaching / Training Experience -

Conducting workshops, corporate training, and boot camps in Data Science or related fields.

Experience in teaching or mentoring working professionals with leading organizations such as Emeritus, UpGrad, etc., or at prestigious institutions is an advantage.

Key Attributes

Strong Communication Skills: Ability to explain complex technical concepts clearly and concisely.

Passion for Teaching: A genuine desire to share knowledge and help others succeed.

Industry Expertise: Deep understanding of Data Science principles and practices.

Adaptability: Ability to adjust teaching style to meet the needs of diverse learners.

Engagement: Ability to engage the audience for a longer duration

Next Steps:

Interested applicants should send their resumes specifying their work experience, education

qualifications (including grade achieved), achievements to recruitment@linceducation.com with the subject “Data Science - Instructor | July 2025”

List of Topics (abridged) that the Instructor will deliver as part of the course:

Python, Git, VS Code, and SQL.

Data manipulation techniques using Pandas, NumPy, and SQLAlchemy.

Clean, explore, and visualize datasets using tools like Matplotlib and Seaborn.

Predictive models include Linear Regression, Logistic Regression, KNN, and Decision Trees.

Explore ensemble methods such as Random Forest, Bagging, and Boosting..

Exposure to advanced topics such as Artificial Neural Networks, CNNs, NLP, and Time Series Analysis.

Analyze model performance using metrics such as MSE, RMSE, MAE, and accuracy.