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Permanent Faculty Position: Advanced Statistics/ Statistics 1/ Statistics 2

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Onsite

Permanent Faculty Position: Advanced Statistics/ Statistics 1/ Statistics 2

Indian School of Business and Finance

Permanent Faculty Position: Advanced Statistics/ Statistics 1/ Statistics 2

Skills

PythonData ScienceRData Analysis

2 months ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Location:

 Delhi NCR

Institution:

 Indian School of Business & Finance (ISBF)

Join ISBF and teach on globally recognised  University of London

 degree programmes with academic direction from the  London School of Economics and Political Science.

We are seeking permanent faculty members with strong expertise in  Statistics and Advanced Statistics  to teach one or more of the following subjects:

  • Statistics 1
  • Statistics 2
  • Advanced Statistics: Distribution Theory & Advanced Statistics: Statistical Inference.

Essential Requirements

  • Strong foundation in  statistical theory, probability, and applied statistics

  • Expertise in areas including:

  • Probability and Probability Distributions

  • Distribution Theory

  • Sampling and Sampling Distributions

  • Estimation and Confidence Intervals

  • Hypothesis Testing

  • Statistical Inference

  • Correlation and Regression

  • Statistical Data Analysis

  • Ability to apply rigorous statistical methods to  economic, business, and social science problems

  • Proficiency in  R, Python, Stata, SPSS

    , or equivalent statistical tools is desirable

  • Excellent analytical, communication, and presentation skills

  • Ability to contribute to teaching, curriculum development, student mentoring, and academic initiatives

Qualifications

  • Master's degree in  Statistics, Mathematics, Economics, Data Science, or a related discipline
  • PhD in Statistics or a related field is highly desirable
  • Prior teaching, research, or industry experience will be an added advantage

If you are passionate about rigorous statistical thinking and its application to real-world problems, we'd love to hear from you.

Interested candidates are invited to apply with their CV and a brief cover letter.

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