Data Scientist (Insights)

Equifax; Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

Equifax in Melbourne is seeking a Data Scientist to manipulate large datasets and integrate diverse data sources under guidance. You will translate requests into outputs including visuals, dashboards, and training data sets, and you will develop iterative modeling solutions.

You will work on analytics across domains, build deployable insights, and present findings with eye-catching visualizations using Tableau and other tools, communicating results to internal teams and clients.

Qualifications

• BS degree in a STEM major or equivalent discipline.
• 2+ years of analytical experience including predictive models.
• Cloud certification strongly preferred.
• SQL queries for data extraction and manipulation.
• Experience developing BI reports and dashboards with Tableau.
• Experience applying statistical techniques to commercial data.

Responsibilities

• Prepare datasets and analytics with guidance from senior staff.
• Assemble data from multiple sources for analysis.
• Analyze new data sources and incorporate into insights.
• Develop predictive models, risk assessments, fraud detection, or recommendation engines.
• Package and visualize findings for management.
• Create presentation-ready visuals using Tableau/Spotfire or similar tools.
• Develop wireframes and mockups of dashboards and reports for internal and client use.

Skills

SQL

Python

R

Statistical analysis

Data preparation

Analytical thinking

Education

Bachelor of Science in a STEM field

Master’s degree in STEM (advantage)

Tools

Tableau

Google Cloud Platform (GCP)

Spark/Hive/Impala

Job description

Work Location - Melbourne/ Sydney & Brisbane

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.