Teaching Associate - Data Science / Statistics

We are seeking a motivated and engaging Teaching Associate in Data Science / Statistics to join our academic community. You will contribute to high‑quality teaching, assessment and student support at undergraduate level, helping to deliver an excellent learning experience and actively participating in the wider life of the School. This role is ideal for someone who is passionate about teaching, student engagement and supporting future data scientists and statisticians.

What will you be doing?

In this role, you will:

• Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions.
• Act as a personal tutor, providing academic and pastoral support.
• Supervise undergraduate dissertations in Data Science / Statistics.
• Mark exams and coursework and contribute to assessment design and development.
• Support curriculum development and enhancement in line with School ambitions.
• Contribute to programme administration, including programme development, admissions, delivery of units and liaison with external examiners.
• Participate in School and Faculty activities, including meetings, seminars and wider governance.
• Take a proactive approach to your own professional development and scholarship.

You should apply if

You are someone who:

• Has experience teaching Data Science, Statistics or a related discipline at undergraduate level in lectures, small‑group teaching or both.
• Brings a proactive, student‑centred approach to teaching and learning.
• Demonstrates strong organisational and administrative skills.
• Has experience supervising undergraduate projects or dissertations.
• Communicates clearly, works well with colleagues and adapts to changing needs.
• Is confident using digital learning tools and programming languages such as R, Python and C++.
• Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science / Statistics.

Desirable qualities include leadership experience in teaching (such as programme or course development), blended or digital learning experience, links with accreditation bodies and a recognised HE teaching qualification.

Additional information

You can apply for the role at the below link -

https://emeritus.darwinbox.in/ms/candidate/careers/a6981b79b773fa

To complete your application you will be asked to submit your CV and covering letter, and the names and contact information of three referees.

If you have any queries about the position, please contact careers@daskalos.org

This advert will close at 23:59 UK time on Sunday 1st March 2026. We reserve the right to close this vacancy early if we receive a sufficient number of suitable applications. We therefore encourage you to apply as soon as possible.

Please note: this role is based in Mumbai, India and will be subject to local terms and conditions of employment and benefits. Specific contractual arrangements will be provided upon appointment.

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