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Senior Data Scientist

Consult Recruitment

Auckland

On-site

NZD 100,000 - 125,000

Full time

Today
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Job summary

A dynamic energy and data firm in Auckland is seeking a Senior Data Scientist to develop and deploy impactful analytics and predictive models. The ideal candidate has 5-8 years of experience in data science, strong skills in Python and Azure, and a passion for mentoring junior team members. This role offers the opportunity to collaborate on large-scale projects and grow into leadership positions within the Data & AI function.

Benefits

Career development
Hands-on technical work
Collaboration with specialists

Qualifications

  • 5-8 years of experience in Data Science or similar role.
  • Proven technical depth in statistical modelling and machine learning frameworks.
  • Strong background with cloud tools and pipelines.

Responsibilities

  • Develop and deploy advanced analytics and predictive models.
  • Collaborate closely with data engineers and product/AI leadership.
  • Mentor junior and mid-level data scientists.

Skills

Statistical modelling
Machine learning frameworks
Collaboration skills
Communication skills
Self-motivation

Tools

Python
Databricks
Azure
Job description
Senior Data Scientist

Genesis is transforming how energy and data come together, and this is your chance to be at the heart of it. They’re scaling their Data & AI capability and need a Senior Data Scientist who’s hungry to make an impact.

This isn’t a back-room modelling job. You’ll be hands-on with advanced analytics, building models that matter, and helping drive decisions that impact hundreds of thousands of customers. You’ll be surrounded by talented engineers and data specialists, with the chance to bring fresh ideas, set new standards, and raise the bar for data science at Genesis.

We’re looking for someone who loves the craft of data science, from statistical modelling to machine learning, but who also gets the importance of collaboration, governance, and making models usable in the real world. You’ll have the freedom to experiment, the space to innovate, and the support to grow into a leadership pathway.

What you'll be doing:

  • Develop and deploy advanced analytics and predictive models across multiple use cases (forecasting, segmentation, NLP etc.).
  • Work with legacy systems & support migration into cloud-based architecture.
  • Maintain model integrity and accuracy, monitor performance, identify drift, and implement retraining strategies.
  • Improve governance, documentation, change control, and ensure production readiness of models.
  • Collaborate closely with data engineers, platform teams, product/AI leadership.
  • Mentor junior/mid-level data scientists, share best practices, coach technical problem solving.

What you'll bring:

  • 5-8 years’ experience in Data Science or similar role, with proven technical depth (statistical modelling, machine learning frameworks, cloud tools).
  • Strong with tools like Python, Databricks, Azure (or equivalent), with experience in pipelines, deployment, and monitoring.
  • Experience in NLP and/or advanced analytics (not just coding; ability to interpret business needs align solutions).
  • Solid collaboration and communication skills: ability to explain technical concepts and balance business outcomes.
  • Someone who is self-motivated, comfortable working in ambiguity, with a bias toward action and improvement.

Why Join Genesis Data & AI?

  • Work on large scale, high-impact projects where your models help guide real business and customer outcomes.
  • A chance to help shape and scale the Data & AI function.
  • Collaborate with leaders & specialists, while retaining hands-on technical work.
  • Career development: visibility, ownership, and potential to grow into leadership.
  • Play a hands-on role shaping the future of Data & AI at Genesis
  • Build, deploy, and optimise models in Azure/Databricks with real business impact
  • Mentor junior data scientists while staying technical and close to the work

We are an equal opportunities employer and welcome applications from all qualified candidates.

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