Data Scientist - (6 month Maximum term) at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI Automation, Predictive Modeling, Power BI, Data Engineering, Agile Methodology, Stakeholder Management, Customer Journey Analysis, Data Visualization, Risk Management, Business Analysis, AI Tooling

Industry

Financial Services

Description

Create your best future and join Westpac as a Data Scientist. This role will play a crucial part of the UNITE Business Design and Delivery team. UNITE is our business-led, tech-enabled transformation, and a key priority for the Group. UNITE is about delivering 'one best way' to make our processes, systems and tech simpler so we can deliver a better experience for our banker assisted customers and thereby make things easier for our people. * Location: Sydney-based role only * On-site Requirement: 3 days in the office per week * Why On-site? This is a highly collaborative position involving regular face-to-face workshops and close team interaction, making in-office presence essential. What’s the role? As a Data Scientist, you will be supporting the continued evolution of Digital Banker platform supporting banker-assisted customer experiences across Retail and Business & Wealth. You will combine AI‑powered data science with strong business understanding to drive large‑scale change across customer‑facing teams. Sitting within a high‑impact team in the Digital Village, you will act as a subject matter expert delivering trusted, scalable data and analytics solutions. You will work closely with product, technology, UX, and risk stakeholders to ensure data‑led solutions are practical, compliant, and aligned to real customer and banker needs. Additionally, you will provide data solutions needed by multiple squad Product Owners, using your expertise in data science to support key decisions, improve customer experience, and visualise insights that drive adoption and change. You will use AI to automate data queries and curate meaningful insights for feature design, pre‑ and post‑feature production feedback loops, and banker automation to enable higher‑quality conversations. You will use AI to automate analysis of large data sources, perform end‑to‑end customer journey deep‑dive analysis, and develop predictive models to identify banker insights and banker task automation opportunities. You will also use data driven AI engineering to help automate, optimise, or eliminate manual processes in your and the wider teams’ work, deliver intuitive reporting solutions, and translate complex insights into clear, risk‑aware recommendations for senior stakeholders, supporting consistent and compliant customer journeys across channels. What do I need? * Strong experience in data science, analytics, or applied data roles, preferably within banking, financial services, or customer‑facing industries. * Proven ability to work with customer data, business rules, and decision logic to support data‑driven outcomes supported by AI automated intelligence. * Hands‑on experience using AI tools (e.g. Claude AI, GitHub Copilot, Encode AI or similar) to support data engineering, automation, or insight generation. * Ability to translate data and insights into consumable outputs through tools such as Power BI and UX‑friendly data solutions. * Experience collaborating within agile, cross‑functional delivery teams. * Enjoy planning and prioritising your work across multiple demanding areas to deliver against highest need. * Confidence engaging with product, technology, UX, and risk stakeholders. * Strong ability to balance customer experience, compliance requirements, and pragmatic delivery. Why join us? We’re obsessed with becoming our customers #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives Create your future today To get started, simply click on the APPLY button. We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find more information and contact details on our FAQs and how to contact us page [https://www.westpac.com.au/about-westpac/careers/faq-contact-us/], under the Diversity, sustainability and flexibility section.

Responsibilities

The role involves developing AI-powered data science solutions to optimize banker-assisted customer experiences and automate manual processes. You will collaborate with cross-functional teams to deliver scalable analytics and translate complex insights into recommendations for senior stakeholders.