Question
2-5

Data Scientist

4/8/2026

You will identify decision problems where modeling creates value and prepare production-ready datasets for predictive models. Additionally, you will deploy models into production pipelines and translate outputs into quantified business impact.

Working Hours

40 hours/week

Company Size

5,001-10,000 employees

Language

English

Visa Sponsorship

No

About The Company
We are making global success personal! As the global leader in international education, we have focused on building trusted human relationships for more than 50 years. In recent years, our investment in digital technology and customer research have enhanced these personal connections, enabling us to deliver global success to more students, test takers and our partners. Proudly customer-first, our expert people are powered by global technology. Together, we offer unmatched services, helping local dreams become realities, all over the world. And best yet, at 50, we are just getting started.
About the Role

About IDP

IDP is the global leader in international education services, delivering global success to students, test takers and our partners, through trusted human relationships, digital technology and customer research. An Australian-listed company, we operate in more than 50 countries around the world.

Our team is comprised of over 7,000 people of various nationalities, ages and cultural backgrounds. Proudly customer-first, our expert people are powered by global technology. Together, we offer unmatched services, helping local dreams become realities, all over the world.

Learn more at www.careers.idp.com

Role purpose

You’ll spend time on the following:

In this role you will be collaborating with IDP’s Data Engineering and Governance, an enterprise capability team and be responsible for: -

Data Scientist — Responsibilities 

Core 

· Identify decision problems where modelling creates measurable value

· Prepare production-ready datasets, build and validate predictive / statistical models, and drive data-driven experimentation

· Deploy models into production pipelines, and monitor performance, drift, and retraining needs

· Translate outputs into quantified business impact (revenue, risk, cost)

· Ensure cost-aware and efficient model design (compute, data, and operational efficiency)

· Influence adoption by enabling stakeholders to act on model-driven insights

 

Desirable 

· Apply GenAI / Agentic AI for automation, decision augmentation, or knowledge workflows

.

Take responsibility for Outcomes

You love technology, are continuously learning and extending your knowledge of best practice and the business value of technology innovations

Required experience

Here’s what we’re looking for:

Technology Skills

Core

· Python

· SQL

· Event-driven architectures

· Serverless computing

· Databases: PostgreSQL

· AWS cloud platform

· Working knowledge of LLMs (AWS managed services, OpenAI APIs)

Desirable

· Agent / orchestration frameworks

· Vector and Graph databases

Key Skills
PythonSQLEvent-driven architecturesServerless computingPostgreSQLAWSLLMsGenAIAgentic AIPredictive modelingStatistical modelingData engineeringData governanceVector databasesGraph databases
Categories
Data & AnalyticsTechnologySoftwareScience & Research
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