Data Scientist

Job Description

As a co-owner of IELTS, we deliver the English test that is trusted by more governments, universities, and organisations than any other. We also operate English language teaching schools in South East Asia.

We are innovators, driven by the needs of our customers and deep data insights. Our 5,000 team members based around the world understand that our services change lives – not only of our customers, but their wider communities. IDP over its half a century’s business service provider has an enormous volume of data which is its core IP. IDP operates in 33 countries for Student placement and in 60 countries for IELTS. Our websites have over 100 million visitors a year and have the World’s most comprehensive course and institution search across 40+ sites.

By combining empathy and professional expertise with digital excellence, we create launch pads for our customers to achieve global success.

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 (Concise)

Core (6)

· 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 (1)

· 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.

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)