Equifax

Lead insights data scientist

New Zealand · Work style not stated · Full time

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About the role

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EmployerEquifax
LocationNew Zealand
Work styleWork style not stated
Employment typeFull time
Employer posted1 Sep 2026

Work Location - Auckland, NZ ONLY

The Lead Data Insights Data Scientist will serve as a technical expert and hands-on leader within our Data and Analytics team, turning complex data into actionable visual solutions. In this role, you will lead cross-functional initiatives to build high-impact analytical dashboards, establish data access standards, and coach junior team members to drive business success. If you are passionate about hands-on data science, mentoring others, and storytelling with data, this is your opportunity to power your possible.

What You'll Do

Deliver topical and actionable NZ insights, providing industry-specific intelligence to help our customers navigate the credit and finance landscape.

Serve as a thought leader for data visualisation, developing new methodologies to elevate individual and team performance.

Lead Data and Analytics professionals, IT, Sales, and clients to design, document, test, and support internal and customer-facing data visual solutions.

Show full description

Create strategies, standards, and best practices for data visualisation, data access, and data integration across big data analytical platforms.

Design and construct tailored dashboards and reports that summarise vast quantities of complex data.

Create presentation-ready visualisations and analyses using Tableau and cloud native visualisation technologies.

Build wireframes and interactive mock-ups of dashboards to communicate functionality to internal stakeholders and clients.

Define agile data extraction and transformation methodologies using SQL, R, Hive, Impala, or Python to derive data marts driving dashboards.

Provide hands-on leadership, establishing priorities, coaching, and mentoring junior team members to align with overall business strategy.

What Experience You Need

Bachelor of Science degree in a STEM major or equivalent quantitative discipline.

7–10 years of experience in a data analytics or data science role.

Proven hands-on leadership experience, specifically coaching, guiding, and mentoring junior team members.

Demonstrated experience writing code in Python, JavaScript, and SQL.

Experience extracting and transforming data using platforms such as SQL, R, Hive, Impala, or Python.

Hands-on experience building visualisations using Spotfire or open-source visualisation platforms.

What Could Set You Apart

Credit risk management and analytics experience

Active Cloud certification, specifically hands-on experience in Google Cloud Platform (GCP).

Prior work experience delivering credit risk, commercial, or consumer-type insights.

Hands-on experience with Tableau or broader Business Intelligence (BI) tools.

Proven record of consulting directly with business users to translate complex technical architectures into actionable commercial insights

We know great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.

We are proud to hold a Reflect Reconciliation Action Plan (RAP) and encourage applications from Aboriginal and Torres Strait Islander peoples. We welcome people of all backgrounds, knowing that diverse perspectives spark the innovation we need to win.

Primary Location:

NZL-Auckland

Function:

Function - Data and Analytics

Schedule:

Full time

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