Senior Data Scientist

Air New Zealand

Auckland

On-site

NZD 110,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Staff travel benefits
Flexible work
Bonuses

Job summary

Air New Zealand is seeking a high-performing Senior Data Scientist (Internal title: Senior AI Engineering Specialist (Data Science)). You will be hands-on, building Data Science solutions and developing products from concept to production across the airline, as part of our Data Science team with a results‑oriented reputation.

You will lead analysis, design and deployment of DS initiatives, communicate with both technical and non‑technical audiences, and contribute to an exciting AI journey at

Qualifications

  • 5+ years’ experience as a Data Scientist in a relevant field.
  • Strong foundation of Python skills.
  • Solid understanding of the mathematical and statistical principles behind data science and machine learning.
  • Practical experience delivering valuable data science solutions within an enterprise environment.
  • Experience developing machine learning and optimisation models using complex datasets.
  • Strong communication skills, with the ability to clearly explain ideas to both technical and non-technical audiences.

Responsibilities

  • Lead the analysis, design, and deployment of new Data Science initiatives.
  • Build Data Science solutions and develop products from concept to production across the business.
  • Communicate complex ideas clearly to both technical and non-technical audiences.

Skills

Python
Data Science
Machine Learning
Statistical analysis
Communication

Job description

Air New Zealand is on an accelerated journey to become the world's best Digital Airline and create a team that is the envy of airlines around the world. We believe that Data Science will play a pivotal role in realising that dream, and our Data Science Chapter is core in helping to deliver on this exciting challenge.

We are looking for a high-performing and enthusiastic SeniorData Scientist (Internal job title: Senior AI Engineering Specialist (Data Science)), who will be hands-on, building Data Science solutions, and developing products from concept to production across all areas of Air New Zealand. You will be part of our Data Science team which has developed a strong results-oriented reputation across our business. This is a perfect opportunity for someone passionate about Data Science and AI/ML who wants to come and help drive exciting change at the airline.

We are looking for people that will bring:

  • A highly motivated, self-starter, proactive attitude that thrives working in a collaborative team environment.
  • The ability to lead the analysis, design, and deployment of new Data Science initiatives.
  • A curious attitude, comfortable dealing with problems that are not always well specified or understood and data that is sometimes incomplete and inaccurate.
  • Confidence and experienceapplying Data Science to help solve business challenges.

Key skills and experience required for this role:

  • 5+ years’ experience as a Data Scientist in a relevant field.
  • Strong foundation of Python skills.
  • A solid understanding of the mathematical and statistical principles behind data science and machine learning.
  • Practical experience delivering valuable data science solutions within an enterprise environment.
  • Experience developing machine learning and optimisation models using complex datasets.
  • Strong communication skills, with the ability to clearly explain ideas and concepts to both technical and non-technical audiences.

In return!

  • A competitive remuneration package and bonuses
  • Unique staff travel benefits at a time when the world is once again opening up
  • A supportive team culture, exposure to the latest tools and technology
  • A strong focus on work flexibility
  • An opportunity to be yourself and be welcomed as a friend - it is a special place to work

Interested in the opportunity and excited to be a part of Air New Zealand's AI journey?

Applications close at midnight Tuesday 8 September.

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