Senior Data Scientist

Job Type: Permanent - Full Time

Location: Auckland - Mount Wellington

Job Category: Advertising, Arts & Media

TĀ TĀTOU WHĀINGA | OUR PURPOSE

Kōrero tuku iho. Share stories.

| Taonga tuku iho. Share possibilities. | Mana tuku iho. Share joy.

Ko Wai Mātou i About Sky

We’re a proud Aotearoa New Zealand business with the ambition to become the most essential and engaging media company.

This is more than entertainment; it’s about moments that matter—connecting Kiwi with the stories and sport they love, anytime, anywhere.

Every person in our crew makes that possible. We are driven by our purpose, and we lead with care, inclusion, and integrity because how we do things matters just as much as what we do.

Te Tūranga i The Role

We have an exciting opportunity for a Senior Data Scientist to join the team and play a key role in shaping the next generation of intelligent products, decisioning, and customer experiences. Working across a modern data stack , primarily leveraging Snowflake and dbt this role is responsible for designing, building, and operationalising scalable machine learning models and decision intelligence capabilities.

The position supports the organisation’s advanced analytics and AI strategy through the development of propensity models, recommendation engines, predictive analytics solutions, and AI-driven decisioning frameworks that deliver commercial, operational, and customer value.

Combining strong technical expertise with business engagement, the role focuses on translating complex data into actionable insights and measurable outcomes.

As part of the wider Research, Data & Insights team, this role contributes to delivering the data and analytics roadmap through the modelling, documentation, and analysis of complex datasets using machine learning, AI, analytics, and reporting techniques.

NGĀ HAEPAPA | ROLE RESPONSIBILITIES

• Design, develop and deploy machine learning models across customer, operational and commercial domains
• Build propensity, churn, uplift, segmentation and forecasting models
• Develop recommendation engines and next-best-action capabilities
• Apply statistical modelling, experimentation and causal inference techniques to business problems
• Monitor model performance, drift and effectiveness over time
• Develop intelligent decisioning frameworks that support real-time and batch use cases
• Partner with product, marketing, commercial and operational teams to embed predictive insights into workflows
• Support AI and automation initiatives through feature engineering and model operationalisation
• Contribute to the evolution of enterprise AI capabilities and reusable model frameworks
• Work within a cloud-native data ecosystem built on Snowflake and dbt Labs
• Collaborate with analytics engineering and platform teams to design scalable feature stores and reusable datasets

NGĀ PŪKENGA ME NGĀ WHEAKO | WHAT YOU’LL BRING

The ideal candidate will combine strong technical capability with a highly collaborative and engaging approach, bringing 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics. Alongside proven experience building and operationalising machine learning models, this role requires someone who can confidently partner with stakeholders, communicate complex ideas in a clear and meaningful way, and translate data into insights that drive real business outcomes.

Success in the role will come from being naturally curious, commercially minded, solution-focused, and motivated by solving complex problems in a fast-paced environment. Experience with modern data platforms such as Snowflake and dbt, along with strong SQL and Python skills, will support the delivery of scalable analytics and AI solutions that create measurable impact across the business.

• Strong stakeholder engagement and relationship-building skills
• Excellent communication and presentation capability across technical and non-technical audiences
• Collaborative, positive, and proactive approach to problem solving
• Passion for innovation, continuous improvement, and delivering meaningful outcomes
• Experience with Snowflake, dbt, SQL, Python, and machine learning solutions
• Strong sense of ownership, accountability, and commercial awareness, with a passion for delivering measurable outcomes.

KO NGĀ HUANGA I WHAT’S IN IT FOR YOU?

• Free Sky, Sky Sport Now, and Neon
• Free onsite parking at our Mt Wellington office
• A flexible, supportive culture where your ideas matter
• Great career development with real pathways to grow
• Discounted Southern Cross health insurance
• Discounted YMCA gym membership

Me Pēhea Te Tono i How To Apply

If you can see yourself in this role and proudly representing Rangiata Sky, we want to hear from you! Apply using the link below.

You’ll need the right to work in Aotearoa or a valid visa with at least 12 months remaining when you join us.

We’re reviewing applications as they land, and once we’ve found our next Sky Crew member, we’ll blow the final whistle — so don’t stay on the sidelines too long.

At Rangiata Sky, we recognise that one size doesn’t fit all.

We’re committed to supporting every candidate, so if you need any reasonable adjustments or accommodations during the process, please contact us through [email protected] — we’re here to help make the process work for you.

EEO & Inclusion Statement

As an Equal Employment Opportunity employer, we’re proud champions of inclusivity and diversity. We welcome applicants of all gender identities and want everyone to feel supported throughout the process.

Our application form also includes a “diverse” gender option for those who identify as non‑binary, genderqueer, genderfluid, or any identity outside the male/female binary.

Recruitment Agencies - Kindly note we are not seeking agency support for this role and will not be accepting unsolicited profiles or approaches.