Senior Data Scientist

At Wesfarmers Health we strive to make health, beauty and wellness experiences simpler, more affordable and easier to access for all Australians. Our portfolio includes well-known names like Priceline, as well as our MediAesthetics brands - Clear Skincare Clinics and SILK Laser Clinics. In the digital space, we’re proud to have SISU Health and InstantScripts—and most recently, we’ve launched our newest retail beauty stores, atomica. About us: What began in 1910 as a small co-operative of just three pharmacies has grown into Wesfarmers Health—a leading Australian organisation in health, beauty, and wellness. Today, Wesfarmers Health proudly employs over 3,600 team members, all committed to delivering accessible, innovative, and trusted health and beauty services to Australians nationwide, across retail, medi-aesthetics, digital health, and wholesale and supply chain operations. What you’ll do: We currently have an exciting opportunity for a Senior Data Scientist to join the Data & Analytics team. Reporting to the Analytics Manager, you will lead the delivery of high-impact data science initiatives that drive commercial value across Wesfarmers Health. This role combines deep analytical problem-solving, machine learning, AI innovation and stakeholder engagement. You will lead complex investigative analytics, develop end-to-end data science products, shape our evolving data science architecture and support our Ecommerce business through digital analytics. You'll work closely with senior stakeholders across the organisation to transform data into actionable insights and scalable solutions that improve business performance. Other key responsibilities include but are not limited to: • Advanced Analytics & Data Science Solutions : Lead deep-dive analytical investigations and develop end-to-end machine learning models, agentic AI solutions and bespoke applications that generate measurable business outcomes across retail, pricing, inventory and other commercial domains • Digital Analytics : Support Ecommerce through website and customer behaviour analytics, ensuring reliable measurement, troubleshooting data quality issues and maintaining Google Analytics (GA4) instrumentation • Data Science Architecture : Contribute to the design and evolution of a modern data science ecosystem, leveraging platforms such as Snowflake, AWS and emerging technologies to support scalable development and deployment • Business Engagement & Delivery : Partner with senior stakeholders to define opportunities, communicate insights, manage priorities and deliver data science solutions from concept through to implementation • Team Collaboration & Mentorship : Guide and mentor data scientists and analysts, foster knowledge sharing and contribute to the continuous improvement of team practices and delivery standards What you’ll bring: • Proven hands-on experience in data science/advanced analytics roles, including leading complex initiatives, designing, building and productionising machine learning models and end-to-end data products, and mentoring junior team members • Advanced user in SQL, one of R or Python. Proficient with Snowflake, BigQuery, AWS and Notebooks; exposure to or strong interest in Databricks. • Experience designing, building and productionising machine learning models and/or agentic/conversational AI solutions, including deployment in AWS • Familiarity with CI/CD and version control practices for data science delivery, and comfortable rapidly prototyping bespoke apps/tools (e.g. using React or similar) to meet ad hoc business needs • Exposure to digital analytics platforms supporting Ecommerce (e.g. Google Analytics GA4, website/session traffic analysis, bot traffic remediation) highly regarded • Strong program/project management experience, with the ability to independently plan, scope and sequence delivery for complex, ambiguous initiatives • Advanced problem-solver and critical thinker with hands-on experience in data cleansing, profiling, visualisation, statistical analysis / modelling • Bachelor Degree in Business Analytics, Statistics, Mathematics, Computer / Data Science or related field Why us? • Access to employee benefits across Wesfarmers including team member discounts at Bunnings, Kmart, Target, Officeworks, OnePass, Priceline, atomica and Clear Skincare Clinics • Ongoing professional development and career opportunities across the Wesfarmers Health Division and the broader Wesfarmers Group • Novated leasing options • Access to our Employee Assistance Program (EAP) - available to all team members and their immediate family members, 24/7, 365 days a year • Beautiful outdoor terrace for work and recreation • Food, coffee and health & wellbeing facilities onsite including a landlord operated gym • Dedicated end of trip facilities (cycle racks, showers, lockers) Aboriginal and Torres Strait Islander Applicants Wesfarmers Health aims to become an employer of choice for First Nations Australians, through investments that attract, empower and retain First Nations team members within our stores, distribution centres, clinics and corporate offices. As part of the Wesfarmers group, we provide authentic support through a diverse range of programs and initiatives, designed to empower you on your journey towards personal achievement and professional advancement.