Lead Data Scientist

Are you a passionate data science leader who thrives on turning complex data into impactful business solutions? RACV is looking for a
Lead Data Scientist
to lead our Advanced Analytics team. The successful candidate will champion the use of data-driven decision-making across the organisation. In this role, you'll be instrumental in inspiring , shaping and delivering a roadmap of advanced statistical models and machine learning solutions that directly improve customer experiences and business performance.

About the Role

As the Lead Data Scientist, you will be leading a team to build, test, deploy and run a suite of statistical models and analytical projects. You'll work closely with key business divisions—from Membership and Digital to Insurance and Roadside—to identify and solve complex challenges.

You'll act as a
champion and enabler
for data-driven solutions, bridging the gap between advanced analytics and business needs. Your expertise will not only lead to increased efficiency but will also solidify the team's reputation as the go-to centre of excellence for data science within RACV.

Key Responsibilities

• Strategic Leadership:
  Manage and mentor the Advanced Analytics team, providing technical guidance and a clear vision for the future.
• Business Partnership:
  Collaborate with business stakeholders to understand their needs and deliver user-friendly solutions that leverage advanced statistics, machine learning, and deep learning.
• Communication & Evangelism:
  Proactively communicate the value of data science, train business users, and champion the adoption of data-driven practices across the entire company.
• Model Development & Deployment:
  Lead the design, development, and application of a wide range of analytical models, including predictive models, segmentation, and life stage models.
• Data Enhancement:
  Partner with internal and external data suppliers to improve data quality, depth, and availability for analytical purposes.
• Project Management:
  Create and execute a quarter-by-quarter plan for the team, ensuring continuous improvement and alignment with business goals.
• Audience Creation:
  Develop high-velocity smart audiences for 1-to-1 targeting and personalization in marketing channels like Salesforce Marketing Cloud and Adobe.

What We're Looking For

Skills & Experience

• Minimum of
  5+ years
  of experience in an analytical role with a focus on
  data mining
  ,
  predictive and prescriptive modelling
  , and
  customer database analysis
  .
• Proven experience working with stakeholders to inspire them, and shape a program of advanced models.
• Proven experience leading and managing a team of analytics professionals.
• Proficiency in
  R / Python
  ,
  SQL and Azure Machine Learning
  is essential.
• Experience of
  Snowflake
  is a plus as is experience of working in
  agile
  environments
• Strong knowledge of relational databases and a good working knowledge of marketing concepts.

Qualifications

• A tertiary qualification with a bias towards mathematics, statistics, marketing, or information technology.
• A higher-level qualification (e.g., Master's or PhD) in a related field is highly desirable.

Personal Attributes

• You're a strategic thinker with a passion for finding innovative mathematical solutions to business problems.
• You're an excellent communicator with the ability to clearly explain complex analysis to diverse audiences, including senior leadership.
• You possess strong problem-solving skills and an attention to detail.
• You are proactive, organized, and thrive in a fast-paced environment.

Our difference

At RACV, we believe that maintaining a diverse and inclusive workplace is an important element in our continued success. We want our people to feel welcome, supported and appreciated for who they are and what they bring to our business. If you require any reasonable adjustments to the recruitment process and/or the role, please let our Talent Acquisition Team know.

Application Process

Applicants will be required to provide evidence of their eligibility to work in Australia, and consent to a criminal record check.