Economics Trainer

SDBI - School Of Data Science & Business Intelligence · Bangalore, India

Job Title: Visiting Faculty – Behavioural Economics and Decision Making

Location: Pune (On-campus – Abasaheb Garware College)

Job Type: Visiting / Part-Time

Program: B.Sc. Data Science (Second Year – Undergraduate Students)

Course Duration: 30 Hours (Across One Semester)

About the Role

The School of Data Science & Business Intelligence (SDBI) is seeking a Visiting Faculty member to teach Behavioural Economics and Decision Making to second-year undergraduate students in the B.Sc. Data Science program.

The ideal faculty member should possess strong industry or research experience and be able to make behavioural concepts engaging through case studies, experiments, discussions, and practical applications relevant to modern organizations.

Key Responsibilities

Deliver 30 hours of engaging classroom instruction during the semester.

Explain fundamental concepts of behavioural economics and decision science using practical examples.

Conduct classroom activities, behavioural experiments, simulations, and case-based discussions.

Connect behavioural theories with real-world business, consumer, financial, and policy decisions.

Design assignments, quizzes, and group activities that promote analytical and critical thinking.

Encourage students to evaluate decision-making using evidence rather than intuition alone.

Support internal assessments and provide constructive academic feedback.

Coordinate with the academic team to ensure timely completion of the syllabus.

Topics to Be Covered

Foundations of Behavioural Economics

Introduction to behavioural economics

Rational choice versus bounded rationality

Decision-making under uncertainty

Heuristics and intuition

Cognitive Biases and Human Behaviour

Anchoring and framing effects

Loss aversion and prospect theory

Confirmation bias

Availability and representativeness heuristics

Overconfidence and optimism bias

Behavioural Decision Making

Risk perception and decision-making

Time preferences and present bias

Habit formation and self-control

Choice architecture and nudging

Applications of Behavioural Economics

Consumer behaviour and marketing decisions

Behavioural finance and investment decisions

Public policy and behavioural interventions

Organizational decision-making

Digital platforms and behavioural design

Contemporary case studies from business and government

Candidate Profile

Master's degree in Economics, Behavioural Economics, Psychology, Management, Public Policy, Business Analytics, or a related discipline.

Industry, consulting, research, or policy experience in behavioural science, consumer research, business strategy, marketing, finance, or related domains.

Strong understanding of behavioural economics principles and their practical applications.

Prior teaching, corporate training, mentoring, or workshop facilitation experience is preferred.

Excellent communication and presentation skills with the ability to simplify interdisciplinary concepts for undergraduate students.

Preferred Skills

Knowledge of behavioural economics frameworks and cognitive psychology.

Experience applying behavioural insights in business, marketing, finance, public policy, or product design.

Familiarity with behavioural experiments, case-based teaching, and interactive classroom methods.

Ability to facilitate discussions around ethical decision-making and human behaviour.

Strong analytical thinking and problem-solving orientation.

Teaching Commitment

Total Course Duration: 30 hours

Student Level: Second-Year Undergraduate (B.Sc. Data Science)

Mode: On-campus teaching at Abasaheb Garware College, Pune

Faculty will also be expected to:

Prepare lesson plans and learning materials.

Design assignments and classroom activities.

Conduct internal assessments and evaluations.

Participate in academic coordination meetings as required.

How to Apply

Interested candidates may apply through LinkedIn or send their updated resume, along with details of their teaching, training, and industry experience, to .