Assistant Professor Data Science

Sub-Department

Business

Job posted on

Nov 18, 2025

Employee Type

Permanent

Experience range (Years)

2 years - 10 years

Functional Area

Master Team Name

Hiring for Assistant Professor Data Science / Statistics, University of Bristol, Mumbai

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.

Role Overview

We are seeking a highly motivated and accomplishedAssistant Professor in Data Science / Statistics to join our growing academic team at the University's Mumbai Enterprise Campus (MEC), a flagship transnational education initiative of the University of Bristol set to open its doors in 2026, coinciding with the University's 150th anniversary.

The role will contribute to curriculum and research development, and strengthen the University's academic reputation through teaching, innovation, high-impact research, and external engagement. The successful candidate will be expected to deliver high-quality teaching, lead independent research initiatives, and support the broader academic and administrative development of the department. The role will report to the Professor / Associate Professor and have dotted lines reporting and collaboration to a senior academic inHead of School of Mathematics in the Faculty of Science and Engineering (S&E). This position offers a platform for career advancement, including the potential for progression to Associate Professor based on performance and institutional contribution.

Key Responsibilities

Leadership, Culture, and Engagement

• Participate in faculty committees, academic events, student recruitment, and quality assurance processes.

• Contribute to institutional development and participating in training and capacity-building initiatives.

• Build industry and/or academic partnerships that enhance the University's visibility and engagement with external stakeholders.

• Work collaboratively with Professional Services partners to deliver delegated administrative and governance duties.

Teaching

• Design and deliver undergraduate and postgraduate courses ranging from mathematical statistics and machine learning to coding and algorithmics.

• Contribute to curriculum development initiatives and contribute to academic programme design in collaboration with senior colleagues and faculty teams.

• Contribute and promote innovative teaching strategies that improve student experience, transferable skills creation and employability prospects.

• Play a role in curriculum development and contextualisation, programme accreditation, programme enhancement and the maintenance of quality assurance standards within the university.

Research

• Supervise student research projects, theses, and internships, providing academic guidance and mentoring.

• Build an excellent record of high-quality publications in reputable, peer-reviewed academic journals, or recognised discipline-specific outputs, actively contributing to the international discourse inData Science / Statistics.

• Pursue research funding and build interdisciplinary collaborations across the university network.

Essential Criteria

• A completed PhD inmathematical statistics and data science.

• Evidence of ability to teach to a very high standard at undergraduate and postgraduate levels

• An emerging track record of high-quality scholarly research, with potential to publish in highly ranked journals.

• Evidence of excellent organisational and administrative skills.

• Excellent communication, leadership, and collaborative skills.

• Demonstrates a proactive approach to professional development.

• Strong programming expertise.

• Proven experience in machine learning and data science.

Desirable Criteria

• Between 2 and 10 years of academic experience post-PhD

• Post-PhD experience in teaching, research, or a combination of both in a higher education setting

• Strong mentoring, academic advising, and supervisory skills.

For any concerns regarding your application, kindly reach out to us