WHAT WILL YOU BRING?

• Minimum 8 years of experience in customer analytics, data science, or a related field.
• Postgraduate qualifications in data science, statistics, mathematics, or a similar discipline.
• Certification or experience in product ownership/management is advantageous.
• Proven ability to communicate complex ideas clearly and influence stakeholders.
• Experience leading and collaborating in virtual and agile team environments.
• Demonstrated leadership in coaching, development, and performance management.
• Strong experience in developing and deploying ML algorithms with commercial impact.
• Deep knowledge of statistics and machine learning techniques.
• Skilled in Python, SQL, SAS, and familiar with modern AI stacks.
• Experience with cloud platforms (Microsoft Azure, Azure Databricks, or similar).
• Proficient in data visualization tools (e.g., PowerBI).
• Experience applying Generative AI and LLMs to solve business problems.
• Strong understanding of big data platforms and scalable data pipelines.
• Ability to prioritize effectively, balancing short-term delivery with strategic goals.

DATA SCIENCE AND ANALYTICS LEAD - MELBOURNE LOCATION PREFERRED - HYBRID ROLE

We thrive on cross-functional team collaboration, we embrace experimenting, and we work with progressive methods and tools. This includes leveraging agile ways of working and keeping human-centered design thinking the focus of everything we do.
This means you’ll be at the heart of finding better ways to help people live longer, healthier, happier lives and making a better world. Working in such a customer-focused and rewarding area brings a huge variety of opportunities for professional and personal growth.
Our global mission is to help our customers live healthier and happier lives. Just imagine the impact you could make!

WHAT’S YOUR ROLE?

The Data Science and Analytics Lead will oversee the design, development, and deployment of advanced analytics and machine learning solutions. This role leads a team of data scientists and collaborates with cross-functional teams to drive data-informed decision-making across the organisation. The successful candidate will play a key leadership and hands-on role in delivering data-driven value across the enterprise, leveraging data to uncover insights, build models, and visualize patterns using statistical and machine learning techniques.

KEY RESPONSIBILITIES

• Partner with business stakeholders to identify and understand complex analytical challenges.
• Lead a multidisciplinary squad (Data Scientists, AI/ML Engineers, Data Analysts) using Agile methodologies.
• Design and develop data science solutions to enhance strategic decisions, customer experience, and engagement.
• Provide thought leadership in data science techniques, tools, and industry trends.
• Contribute to the development of ML models and apply LLMs to deliver actionable insights and next-best actions.
• Manage delivery of analytics products to technical and business stakeholders, tailoring communication styles accordingly.
• Lead the implementation of modern data architecture (data lakes, warehouses, real-time pipelines).
• Establish and drive data governance frameworks, policies, standards, and ethical AI practices.
• Oversee end-to-end data science execution on the GCP platform.
• Guide the team through migration and enhancement of Bupa’s strategic data platform.
• Ensure quality assurance and provide practice guidance to the team.
• Collaborate with architects, engineers, and business stakeholders to translate requirements into data-driven solutions.