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Job Post Details

Data Scientist - job post

Equifax
3.4 out of 5 stars
Melbourne VIC 3000Hybrid work
Full-time
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Job details

Job type

  • Full-time

Location

Melbourne VIC 3000Hybrid work

Benefits

Pulled from the full job description

  • Employee assistance program

Full job description

  • Melbourne
  • Australia
  • Data & Analytics
  • Full time
  • 6/12/2026
  • J00176004

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Manage Preferences

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.

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 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
    Evaluate the work of peer and/or junior data scientists to ensure high quality solutions


What experience you need

  • BS degree in a STEM major or equivalent discipline

  • 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models

  • Cloud certification strongly preferred

  • Additional role-based certifications may be required depending upon region/BU requirements


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

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? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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.

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