Lecturer/Senior Lecturer - Applied Data Science

Te Kura Pāngarau | School of Mathematics and Statistics Located in Ōtautahi | Christchurch, Aotearoa | New Zealand

• Full-time 37.5 hours per week (1.0 FTE)
• Continuing (permanent) position
• Generous annual leave provisions and professional development opportunities

Āu Mahi | What You Will Do
As a Lecturer / Senior Lecturer in Applied Data Science, you will contribute to teaching and industry-connected scholarship within the School of Mathematics and Statistics. You will deliver high-quality courses that prepare students for real-world data-driven careers and foster collaborations with industry, government, and community partners. This role is ideal for someone passionate about bridging academic excellence with practical, data-informed innovation. Mōu | Who You Are
You combine your expertise in Data Science with a commitment to teaching, industry engagement, and collegial leadership. You will have:

• A PhD in Data Science, Computer Science, Statistics, or a closely related discipline.
• Demonstrated experience in applied and industry-relevant data science, including collaboration with external partners.
• A proven ability to teach, develop, and deliver innovative courses that connect theory with real-world application.
• Expertise in data science tools and programming languages (e.g., Python, R, SQL, or equivalent).
• Strong quantitative and analytical skills with an ability to translate data insights into practical solutions.
• Experience in leading teams (expected at Senior Lecturer level).
• Excellent communication and stakeholder engagement skills, with a commitment to inclusive and collaborative practice.
• Champion equity, diversity, and inclusion, and actively support the University's commitment to Aotearoa New Zealand's bicultural heritage and Te Tiriti o Waitangi.

Mahi Ngātahi | Who You Will Work With The School of Mathematics and Statistics is home to one of the University's fastest-growing areas — Data Science. Our Master of Applied Data Science (MADS) and Postgraduate Diploma in Applied Data Science (PGDipADS) are among UC's largest postgraduate programmes, with UC Online enrolments expanding rapidly. We foster a collegial, supportive environment where women and underrepresented academics are encouraged to thrive and make a meaningful impact. Ngā Painga o UC | Why UC
Tangata Tū, Tangata Ora - Engaged, Empowered, Making a Difference. We are committed to accessible higher education, service to the community and the encouragement of talent without barriers of distance, wealth, class, gender or ethnicity. The University explicitly aims to produce graduates and support staff who are engaged with their communities, empowered to act for good and determined to make a difference in the world. What We Offer
The University is committed to providing an excellent working environment, this includes:

• relocation support
• five weeks annual leave and five days university holidays
• UC Parental Leave (up to 9 weeks paid) + 26 weeks Government paid parental leave and onsite childcare facility
• widely accessible sabbatical provision
• generous employer contribution to superannuation (up to 6.75%)
• University and Faculty scholarship support for post-graduate students
• a unique bequest funded endowment (Erskine Fund) that supports an extensive visiting fellowship programme
• flexible working arrangements
• professional development and study opportunities
• living in revitalised Ōtautahi | Christchurch, Aotearoa New Zealand
• a unique working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff Club at discounted rates plus onsite cafés and eateries, and more.

For more information on our Benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/ This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement and the following salary scale applies: Lecturer $94,181 - $113,616; Senior Lecturer $119,586 - $149,806. The closing date for this position is: 9 November 2025 (midnight NZ time) Please note, applications will be reviewed after the close date. Pēhea te tono mai | How You Apply Applications for this position must be submitted on our careers website and should include the following:

• a cover letter which includes a 2-3-page statement outlining your teaching philosophy, your experience in applied and industry-relevant data science projects and your vision of project-based collaborations between university students and industry stakeholders.
• a Resume.

We do not accept applications by email, however, we are happy to answer any queries at WorkatUC@canterbury.ac.nz For further information specifically about the role, please contact: Clemency Montelle, Head of Department, Mathematics and Statistics, clemency.montelle@canterbury.ac.nz For overseas applicants, please visit Immigration New Zealand website, to review the latest health and visa requirements for visiting and working in New Zealand. #LI-DNI
Job Details Reference # 29372
Posted on 24 Oct 2025
Closes on 09 Nov 2025 23:55
Location(s) Christchurch
Expertise Lecturer, Senior Lecturer, Tertiary Teaching
Job level(s) Academic
Work type(s) Continuing (Permanent) full-time