Lecturer / Senior Lecturer - Applied Data Science

Te Kura Pangarau | School of Mathematics and Statistics

Located in Otautahi | 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

Au 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.

Mou | 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.

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.

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 arrangementsprofessional development and study opportunities

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.

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

• (midnight NZ time)

Please note, applications will be reviewed after the close date.

Applications for this position must be submitted on our careers website and should include the following :

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.

For further information specifically about the role, please contact : Clemency Montelle, Head of Department, Mathematics and Statistics,

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

Reference #

Posted on 24 Oct

Closes on 09 Nov

Location(s) Christchurch

Expertise Lecturer, Senior Lecturer, Tertiary Teaching

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