Data & Modelling Intern: Insight-Driven Growth & Impact

Scarlatti; Albert-Eden; On-site; NZD 28,000 - 41,000; Full time

Benefits offered by this job

Competitive remuneration

Supportive team culture

Growth opportunities

Fast-paced work atmosphere

Friendly office environment

Job summary

Scarlatti is seeking a data and modelling analyst intern to join our dynamic team in Auckland or Hamilton. The role offers opportunities to drive research projects and contribute to client work, while learning to analyse and interpret data.

You will work with Scarlatti to develop dashboards and reports, gaining hands-on experience with datasets and impact modelling. A strong academic record and excellent written English are desired.

Qualifications

• Strong academic record in a relevant tertiary field (e.g. maths, data science, CS, stats, physics, economics).
• In later years of university (penultimate or ultimate year).
• Zero to two years’ work experience.

Responsibilities

• Drive a research project aligned with current Scarlatti work.
• Contribute to client projects across industries and disciplines.
• Work closely with Scarlatti team members (research managers, analysts, associates).
• Learn how to analyse, evaluate and interpret research data.
• Learn to produce engaging reports (written, dashboards, infographics, presentations).
• Support project management activities.
• Contribute to the Scarlatti team and culture.

Skills

Data analysis

Modelling

Critical thinking

Problem solving

Communication

Time management

Attention to detail

Team collaboration

Education

Tertiary qualification in maths/data science/computer science/statistics/physics/economics

Job description

Scarlatti is seeking a data and modelling analyst intern to join our dynamic team in Auckland or Hamilton. The role offers opportunities to drive research projects and contribute to client work, while learning to analyse and interpret data.

You will work with Scarlatti to develop dashboards and reports, gaining hands-on experience with datasets and impact modelling. A strong academic record and excellent written English are desired.