Data Scientist

Auckland Transport

Auckland

On-site

NZD 90,000 - 130,000

Full time

2 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Professional development
Leadership opportunities
Paid parental leave
Study assistance
Health benefits
Professional memberships
AT Connect groups

Job summary

Auckland Transport is seeking a Data Scientist to join its AI and Data Science team in Auckland. You will turn complex business questions into robust analytical solutions and provide actionable insights across stakeholders and technical teams.

You will apply advanced analytical and AI techniques, including forecasting, modelling and optimisation, spanning discovery, data preparation and deployment with governance and explainability at the forefront.

Qualifications

  • At least three years applying statistical and analytical techniques to real-world business problems.
  • Proficiency in Python, R or SQL and ability to work with stakeholders to define problems and communicate results.

Responsibilities

  • Turn complex business questions into robust analytical solutions.
  • Develop forecasts, models, optimisation and AI solutions.
  • Manage discovery, data preparation and implementation through monitoring.
  • Communicate findings clearly to technical and non-technical audiences.
  • Ensure reproducibility, explainability, privacy and data governance throughout the lifecycle.

Skills

Python
R
SQL

Education

Data science degree

Tools

Dataiku
Snowflake
Microsoft Azure
Visual Studio Code
GitHub

Job description

We are looking for a Data Scientist to join our AI and Data Science team. You will work with stakeholders and technical teams to turn complex or ambiguous business questions into robust analytical solutions and actionable insights.

You will apply advanced analytical, statistical and AI techniques to real-world challenges. Your work may include forecasts, statistical models, optimisation approaches and AI solutions, with responsibility spanning discovery and data preparation through to implementation, monitoring and continuous improvement.

This is an opportunity to deliver trusted, explainable and well-governed solutions that improve decision‑making across Auckland Transport, while contributing to shared analytical standards, reusable assets and team learning.

You will bring at least three years of experience applying statistical and analytical techniques to real-world business problems, along with a relevant tertiary qualification in data science, statistics, mathematics, computer science or a related field, or equivalent practical experience.

You will be proficient in one or more analytical programming languages such as Python, R or SQL, and experienced in working with stakeholders to define problems, interpret results and communicate practical recommendations.

You will be a curious and proactive problem‑solver who can communicate complex findings, uncertainty and limitations clearly to both technical and non‑technical audiences. You will understand the importance of reproducibility, explainability, privacy, security, data governance and responsible AI throughout the analytical lifecycle.

  • Experience applying advanced analytical, statistical and machine‑learning techniques to business challenges, such as forecasting, segmentation, optimisation or recommendation systems.
  • Experience developing reproducible, maintainable and well‑documented analytical workflows.
  • Experience with version control, testing, peer review and collaborative development practices.
  • Experience deploying and monitoring analytical or AI solutions in production.
  • Experience using visualisation and data storytelling to support decision‑making.
  • Experience using modern cloud data, analytics and AI platforms. Familiarity with Dataiku, Snowflake, Microsoft Azure, Visual Studio Code or GitHub would be advantageous.

At AT, weembraceinclusion and fully support building a diverse workplace where people come first and we feel safe, respected, valued and supported, inclusive of our differences. Our values are more than just words - they are integral to everything we do. Manaakitanga- We care, Tiakitanga- Safe with us, Whanaungatanga- We connect, Auahatanga- Better, bolder, together.

In addition, we also offer:

  • Investment in your professional development and training
  • Opportunity for greater leadership and accountability
  • Paid parental and partner leave
  • Study assistance
  • Health and Wellbeing benefits
  • Professional memberships
  • AT Connect groups such as Mana ka Māori, Women@AT, and many more!
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Scientist: AI, Forecasting & Insight Delivery
Data Scientist: AI, Forecasting & Insight Delivery

Auckland Transport • Auckland

On-site
NZD 90,000 - 130,000
Professional development
Leadership opportunities
Paid parental leave
+4
AI & Data Consultant
AI & Data Consultant

Accenture • Auckland

On-site
NZD 90,000 - 120,000
Analytics Engineer
Analytics Engineer

Southern Cross • Auckland

On-site
NZD 110,000 - 170,000
Wellbeing leave
Health insurance
Employee assistance programme
+2
*AI/ML Computational Science Specialist*
*AI/ML Computational Science Specialist*

Accenture New Zealand • Auckland

On-site
NZD 100,000 - 120,000
Senior Data & Analytics Solutions Leader
Senior Data & Analytics Solutions Leader

Datacom • Wellington

Hybrid
NZD 150,000 - 190,000
Hybrid work setup
Analytics Engineer
Analytics Engineer

Southern Cross Health Insurance • Auckland

On-site
NZD 150,000 - 190,000
Wellbeing leave
Health insurance
Life insurance
+7
Principal Data and AI Governance Advisor
Principal Data and AI Governance Advisor

nztagovtnz • Auckland

On-site
NZD 148,000 - 176,000
Competitive salary and benefits
5 weeks annual leave
Flexible working arrangements
+1
Principal Data Scientist| Kaipūtaiao Raraunga Mātāmua at Statistics New Zealand
Principal Data Scientist| Kaipūtaiao Raraunga Mātāmua at Statistics New Zealand

Statistics New Zealand • Wellington

On-site
NZD 120,000 - 162,000
37.5 hours work week
Sick leave entitlement 15 days
3 extra days off
+6
Data Scientist
Data Scientist

Equifax, Inc. • Auckland

On-site
NZD 120,000 - 160,000
*AI/ML Computational Science Specialist*
*AI/ML Computational Science Specialist*

8300 Accenture NZ Limited Company • Warkworth

On-site
NZD 100,000 - 120,000