" \u003cdiv class=\"ja-job-details\"\u003e \u003ch2 class=\"title\"\u003eLead Data Scientist | Banking Risk Analytics\u003c/h2\u003e \u003cdiv class=\"meta\"\u003e \u003cul class=\"classifications\"\u003e \u003cli data-id=\"15668\"\u003e IT \u0026amp; Telecomms \u003c/li\u003e \u003cli data-id=\"15669\"\u003e Consultant - Other \u003c/li\u003e \u003cli data-id=\"15670\"\u003e Sydney \u003c/li\u003e \u003cli data-id=\"15671\"\u003e Permanent / Full Time \u003c/li\u003e \u003c/ul\u003e \u003cp class=\"date-posted\"\u003e 30/10/2026 \u003c/p\u003e \u003c/div\u003e \u003cul class=\"bullet-points\"\u003e \u003cli\u003eLead a small analytics pod on a high-profile banking programme\u003c/li\u003e \u003cli\u003eHands-on predictive modelling with real business impact\u003c/li\u003e \u003cli\u003eMentor others while staying hands-on with the models\u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"description\"\u003e Rubix Solutions is working with a leading analytics consultancy to hire experienced Data Scientists for a large banking engagement in Sydney. The programme centres on customer risk and compliance analytics, and is planned to run over 12 to 18 months in two stages, with room for the team to grow.\u003cbr\u003e \u003cbr\u003eYou will lead a small pod, working alongside a supporting Data Scientist, and help a banking client assess how well its customer onboarding and due diligence controls are working. Using data and modelling, you will find out which controls add value and which can be improved or retired. You will stay hands-on with the modelling while guiding others across local and offshore teams.\u003cbr\u003e \u003cbr\u003e\u003cstrong\u003eWhat you will do\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eWork with business stakeholders to define problems and shape them into practical analytical work\u003c/li\u003e \u003cli\u003eAnalyse customer, risk and operational data to test how existing controls are performing\u003c/li\u003e \u003cli\u003eBuild, validate and improve predictive models that support customer risk assessment\u003c/li\u003e \u003cli\u003eChoose the right performance measures and explain results, limitations and impact in plain terms\u003c/li\u003e \u003cli\u003eRecommend which controls to keep, change or remove\u003c/li\u003e \u003cli\u003eReview analytical approaches and mentor other Data Scientists in your pod\u003c/li\u003e \u003cli\u003eProduce well-documented, reproducible work with colleagues onshore and offshore\u003c/li\u003e \u003cli\u003eLook for practical uses of AI agents where they fit the project\u003c/li\u003e \u003c/ul\u003e \u003cstrong\u003eWhat you will bring\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eAround 8 to 12 years in data science, predictive modelling or advanced analytics\u003c/li\u003e \u003cli\u003eStrong hands-on Python and/or R, with solid statistics and machine learning\u003c/li\u003e \u003cli\u003eA track record of taking unclear business problems through to models and clear recommendations\u003c/li\u003e \u003cli\u003eThe ability to explain complex findings to technical and non-technical audiences\u003c/li\u003e \u003cli\u003eExperience guiding other practitioners while still delivering yourself\u003c/li\u003e \u003cli\u003eComfort working on client sites and with distributed teams\u003c/li\u003e \u003c/ul\u003e \u003cstrong\u003eNice to have\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eBanking, fraud, financial crime, KYC or customer risk analytics\u003c/li\u003e \u003cli\u003eExperience reviewing or improving rules-based decisions\u003c/li\u003e \u003cli\u003eExposure to agentic AI or applied AI solutions\u003c/li\u003e \u003c/ul\u003e Candidates from other industries with strong predictive modelling experience are also encouraged to apply.\u003cbr\u003e \u003cbr\u003e\u003cstrong\u003eWorking arrangements\u003cbr\u003e\u003c/strong\u003e\u003cbr\u003e Based in Sydney, working from the consultancy\u0026rsquo;s CBD office or the client\u0026rsquo;s offices as the project requires. \u003c/div\u003e \u003cdiv class=\"apply\"\u003e \u003ca class=\"back-link\" href=\"#\" title=\"Back to search results\"\u003eBack to search results\u003c/a\u003e \u003cinput type=\"button\" class=\"ja-button\" data-job-id=\"4482448\" value=\"Apply Now\" title=\"Apply Now\" /\u003e \u003c/div\u003e \u003c/div\u003e "