Lecturer in Data Science / Statistics

About the University of Bristol:

The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape.

As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world.

Main Job Purpose

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.

Main Responsibilities

Teaching Responsibilities

• 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.

Administration Responsibilities

• 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.

Relationships

Line manager: Assistant Professor
Line manager to (where appropriate): Not applicable.

Internal Contacts:

• School and faculty staff
• School undergraduate and postgraduate students
• Staff and students in the wider university.

External Contacts:

• Research collaborators.
• Dissertation supervisors.
• External Partner Organisations.

PERSON SPECIFICATION

Relevant Experience, Skills and Knowledge

• 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).

Relevant Qualifications

• 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.
• Digital/Blended learning experience

Communication and Interpersonal Skills

• 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.

Additional Criteria

• Use of digital learning and collaboration tools and software, e.g. Key languages are R, C++ and Python.

For any queries related to your application, email at careers@daskalos.com