Data Science Leader

1 day ago

Melbourne, Victoria, Australia beBeeAnalytics Full time
Lead Data Science and Analytics

This is a unique opportunity to take on a leadership role in data science and analytics.

The successful candidate 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.

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.

Requirements:

  • Minimum 8 years of experience in customer analytics, data science, or a related field.
  • Minimum 2+ years team leadership experience.
  • 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.

What We Offer:

We offer a competitive compensation package, opportunities for professional growth, and a collaborative work environment.

Our company prioritizes employee well-being and offers health benefits and wellness programs.

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