Data Scientist

Equifax; Auckland; Hybrid; NZD 90,000 - 130,000; Full time

Job summary

Equifax is seeking a Data Scientist to transform large datasets into actionable insights across multiple business domains in Auckland, NZ. You will translate requests into outputs—dashboards, use cases, training data, and iterative models—under guidance from senior resources.

You will work with SQL, Tableau, and Python/R to build predictive models and visualizations, collaborating with teams to deliver client-ready solutions and analytics demonstrations.

Qualifications

• BS degree in a STEM major or equivalent.
• 2+ years in analytical roles with predictive modeling experience.
• Cloud certification strongly preferred.
• Demonstrated experience writing SQL for data extraction and manipulation.
• Hands-on experience developing BI reports and dashboards using Tableau.
• Demonstrated experience applying statistical analysis techniques to commercial datasets.

Responsibilities

• Prepare datasets and develop deployable analytics solutions under guidance from senior resources.
• Analyze and prepare data from diverse sources for predictive modeling and dashboards.
• Package, summarize, and visualize analytical findings for management.
• Create visualization-ready outputs using Spotfire or other tools for internal and client use.
• Build wireframes and mockups of dashboards and reports to communicate insights.

Skills

SQL queries

Tableau

Python

R

Data visualization

Cloud platforms

Education

BS in a STEM major

Tools

Spotfire

GCP

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Work Location - Auckland, NZ/ Melbourne/ Sydney & Brisbane

Fixed Term Contract_12 Month

As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into a variety of outputs including visuals, dashboards, use cases, test cases, preparation of training data sets and iterative algorithm development.

What you will do

• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
• Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
• Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
• Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
• Package, summarize and visualize analytical findings and results for management
• Create eye catching and informative presentation-ready visualizations and analyses for internal or external clients using Spotfire and/or other open source visualization technologies.
• Build wireframes and mockups of dashboards and reports as needed to communicate visualization/functionality internally and to clients

What experience you need

• BS degree in a STEM major or equivalent discipline
• 2+ years of experience in a related analytical role, including experience with the design and development of predictive models
• Cloud certification strongly preferred
• Demonstrated experience writing SQL queries for data extraction and manipulation.
• Hands-on experience developing business intelligence reports and dashboards using Tableau.
• Demonstrated experience applying statistical analysis techniques to commercial or marketing datasets.

What could set you apart

• Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
• Hands-on technical experience with Google Cloud Platform (GCP) or cloud data environments.
• Advanced proficiency in analytical programming languages such as Python, R, Hive, Impala, or Spark.
• Practical experience working with alternative BI tools like Tableau or Spotfire.
• Proven background in data journalism or communicating complex data stories to diverse audiences.

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.

We believe that when we’re at our best, we can do our best. Equifax offers policies and programs that support our employees’ financial and personal wellbeing with additional leave days, hybrid working environment, employee assistance program and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?

Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.