Data Scientist

Contact Energy

18d•Hybrid

About The Position

Within our Technology, Data & AI function, we’re building the capability to turn data into real, meaningful outcomes, better experiences for our customers, smarter decisions for our people, and stronger performance across the business. This Data Scientist role sits right at the heart of that journey. As we continue to grow our data and AI capability, we need people who can go beyond dashboards and basic tools. We want to create advanced solutions that move the dial and help shape what “great” looks like for Contact. This is a hands-on, impact-focused role where you’ll design and deliver data science and AI solutions that solve real business problems, working as part of a cross-functional squad. What this looks like in practice: Owning the end-to-end delivery of data science solutions, from problem framing through to production and ongoing improvement Building advanced models, generative AI tools, and insight-driven products that go beyond what standard tools can achieve Partnering closely with stakeholders to test ideas, demonstrate value early, and iterate based on real-world feedback Working within agile squads and across domains, learning the business deeply and applying your expertise where it matters most Contributing to a growing data science capability, sharing knowledge, lifting standards, and helping shape how we work This is a role with real visibility and impact. You’ll be solving complex problems, building solutions that are used in the real world, and helping push Contact forward in how we use data and AI.

Requirements

Proven experience in data science (typically 3–5 years)
Strong Python & SQL capability
Experience with MLOps, AIOps, or data engineering practices
Experience building and delivering data or AI solutions into production environments
Strong analytical, statistical and modelling skills, with the ability to work across structured and unstructured data
Confidence communicating complex ideas in a clear, practical way
Experience working in agile or fast-paced, evolving environments
Curious and proactive, you’re comfortable with ambiguity and enjoy figuring things out
Collaborative, you share knowledge, learn from others, and contribute to a strong team culture
Impact-focused, you care about delivering solutions that actually get used
Right to live and work in New Zealand

Nice To Haves

Exposure to platforms like Databricks, AWS or Spark
Experience working with complex data pipelines or large-scale environments
Understanding of the New Zealand electricity industry

Responsibilities

Owning the end-to-end delivery of data science solutions, from problem framing through to production and ongoing improvement
Building advanced models, generative AI tools, and insight-driven products that go beyond what standard tools can achieve
Partnering closely with stakeholders to test ideas, demonstrate value early, and iterate based on real-world feedback
Working within agile squads and across domains, learning the business deeply and applying your expertise where it matters most
Contributing to a growing data science capability, sharing knowledge, lifting standards, and helping shape how we work