1-2 Lead Data Scientist

ClosedClose date: 17 July 2026

Tender Overview

LH-07169
Issued by Department of Veterans' Affairs
New South Wales : Central West : Far North Coast : Far West : Hunter : Illawarra : Mid North Coast : Murray : New England : Orana : Riverina : Southern Highlands : Sydney Queensland : Cairns & Far North Queensland : Gladstone : Mackay Whitsunday Region : Mount Isa & North West Region : Rockhampton : South East Queensland : South West & Darling Downs : The Central West : Townsville : Wide Bay Burnett South Australia : Adelaide : Eyre & Western : Far North : Fleurieu & Kangaroo Island : Limestone Coast : Murray & Mallee : York & Mid North Australian Capital Territory
Information & Communication Technology : ICT Labour Hire

About this tender

This Tender is invited by the Issuer. Job details Data scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses including: Strong data science capability, including statistical analysis, machine learning, and advanced analytical techniques applied to large and complex datasets. Experience developing detection indicators and predictive models for fraud, compliance, or risk analytics use cases. Ability to translate analytical concepts into operational solutions, including working closely with data engineers to productionise models and indicators. Strong data exploration and feature engineering skills, with the ability to identify patterns, anomalies, and risk signals in complex data. Experience designing robust testing and validation approaches for analytical models, including performance monitoring and continuous improvement. Ability to communicate analytical insights clearly to both technical and non-technical audiences, including through visualisation and reporting tools (e.g. Power BI, Tableau). Familiarity with SQL and data engineering concepts, enabling effective collaboration in pipeline and data product development. Strong stakeholder engagement skills, with the ability to align analytical work to operational priorities and decision-making needs. Demonstrated problem-solving ability and delivery focus in complex, multi-stakeholder environments.

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