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Teaching Associate (Data Science/ Statistics)

India, Mumbai · Job Posted February 14, 2026
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Job Description

The candidate will contribute to the delivery of high-quality teaching, assessment, and dissertation supervision in Data Science / Statistics, at the UG level. The main area of interest is Data Science / Statistics.

Job Responsibility

  • Teaching at Undergraduate and Postgraduate including assisting with lectures, tutoring, seminars. and computer lab sessions
  • Acting as a personal tutor to undergraduate and postgraduate students
  • Supervising UG/MSc dissertations in the relevant area
  • Marking exams and coursework papers for graduate and undergraduate students
  • with Curriculum development/enhancement in line with the school ambition/strategy
  • Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School
  • Proactive approach to professional development and scholarship
  • If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit
  • Responsibilities are likely to include administering graduate and undergraduate degree programmes (Financial Technology or similar, including new programme development, promotion and admissions
  • organising and monitoring delivery of units
  • overseeing the welfare of students
  • liaising with external examiners
  • and/or reviewing and revising programmes in accordance with school and faculty policy
  • Making a wider contribution to the success of the University from their participation in faculty and University wide governance and development activities
  • Other leadership and administrative duties as assigned by the Head of Group

Requirements

  • Evidence of experience and ability to teach effectively at undergraduate and master's levels in a relevant discipline, including in small-group and/ or lecture settings
  • Evidence of a proactive approach to teaching and student engagement
  • Evidence of taking initiative to improve students’ learning
  • Evidence of excellent organisational and administrative skills
  • Experience of effectively supervising undergraduate and masters’ projects and dissertations
  • Evidence of responsibility for planning your own professional development
  • Evidence of ability to contribute effectively to the administration and management of the department, school and faculty
  • Evidence of leadership responsibility in teaching and learning (e.g. leading new courses/programmes and personal tutor role)
  • A Doctorate (e.g. PhD or expected to be completed by the start of appointment) in an appropriate discipline, which fits with teaching specialism/s
  • HE teaching qualification
  • Links with accreditation bodies
  • Excellent interpersonal skills for collaborative working
  • The ability to communicate effectively both orally and in writing to different audiences
  • Flexibility and ability to adapt to changing circumstances
  • Use of digital learning and collaboration tools and software, e.g. Key languages are R, C++ and Python

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