Data Analytics Academic Associate at ISB

As an Academic Associate, you’ll have the opportunity to work alongside world-renowned resident and visiting faculty to deliver high-quality courses and shape the learning experiences of future business leaders. This role is ideal for young, energetic individuals with a strong academic background who aspire to start their careers in higher education, research, or teaching. Many ISB Academic Associates often pursue a Ph.D. at internationally renowned universities or business schools, or transition into teaching positions at well-known universities.

You will primarily support faculty in course delivery, manage academic activities, and ensure smooth classroom operations — from facilitating sessions and grading assignments to enabling engaging learning experiences. Additionally, you will have a unique opportunity to pursue one of the two structured certification tracks as part of our Academic Associate Certificate Program (AACP):

• Teaching Track
• Research Track

These professional development options will complement your role by strengthening your professional skills and laying a strong foundation for your future academic journey.

Key Benefits

• Competitive monthly compensation.
• Access to Business Foundations certification via ISB online.
• Ability to credit/audit select ISB PGP and FPM courses as part of AACP.
• Participate in workshops, seminars, practicums, and peer learning sessions focused on instructional strategies and research development.
• Full access to ISB’s world-class library resources.
• Opportunities to attend conferences, summits, and academic events held on campus.
• Collaboration with distinguished faculty who are thought leaders in their fields, shaping cutting-edge research and influencing global academia.

Qualifications

Educational Background:

• Master’s degree required (pure science, Engineering, Computer Science, Statistics, Mathematics, Data Science, AI, or related fields).
• Candidates pursuing or holding a Ph.D. may apply.

Preferred Qualifications:

While not mandatory, candidates with the following background or expertise will be at an advantage.

• Strong foundational knowledge of Data Science, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Business Analytics.
• Familiarity with Big Data frameworks and business applications.
• Proficiency in programming languages such as Python and R.
• Advanced quantitative and analytical skills, including experience in Quality Engineering, Task Scheduling, and Optimization Techniques.
• Experience with project-based tools and methodologies related to Quantitative Analysis and Statistical Modelling.

Skills and Competencies:

• Commitment to excellence in teaching and learning by providing strong support to both faculty and students.
• Exceptional organizational skills with the ability to handle multiple tasks and meet deadlines efficiently.
• Proven ability to collaborate effectively with faculty and students in a higher education environment.
• Strong communication skills, particularly in mentoring and engaging with students.
• Ability to work collaboratively within a team and across various functions within the department.
• Fundamental proficiency in mathematics and statistics.
• Prior experience in teaching, tutoring, and academic support in higher education setup preferred.
• Familiarity with MS Excel functions, including data sorting, VLOOKUP, filters, descriptive statistics, and chart creation.
• Familiarity with Learning Management Systems (LMS) and digital tools for managing course materials and student data are desirable.

Key Responsibilities

How to Apply

To Apply complete the Google Form: CLICK HERE.