We’re Jetstar. You may know us for our famous low fares, but did you also know that we’ve flown more than 400 million customers since we launched in Australia in 2004? In fact, each week we operate around 3,000 flights to nearly 40 destinations across Australia, New Zealand, Asia and the Pacific. We also operate a fleet of more than 80 aircraft, including state-of-the-art Airbus A320/21 NEO aircraft and the Airbus A320 family and Boeing 787-8s. Every day we enable more people to takeoff to more places, more often.
Impressive numbers? What's even more impressive is the team of extraordinary people taking off together day in day out, flight after flight.
Our people are the real jet stars!
Job Description- Contribute to business analytics and customer focussed Data Science!
- Full time permanent role based at our head office in Collingwood (hybrid working options available)
- Staff Travel Benefits from Day One
The Data Scientist - Customer Domain will form a core part of the Data, Analytics & Automation function within Jetstar. This role will be responsible to deliver and maintain business analytics and commercially valuable and actionable insights focused on customer behaviour, experience, and lifecycle to inform strategic and tactical decision making.
The role will Solve business and technical problems related to customer acquisition, retention, and experience with robust use of rigorous scientific methodologies and creative use of algorithms using AI, machine learning and predictive modelling techniques on a cloud platform.
You will serve as a trusted adviser by cultivating relationships with customer-facing stakeholders and across various leadership teams to improve their understanding and knowledge of customer analytics and data science techniques
This is a key role in supporting the culture of data-driven, customer-centric decision making across Jetstar.
Key Responsibility’s
- Solve business and technical problems related to customer acquisition, retention, and experience with robust use of rigorous scientific methodologies and creative use of algorithms using AI, machine learning and predictive modelling techniques on a cloud platform
- Develop Develop and deploy customer-focused ML solutions frameworks for customer analytics best practices, and work closely with the Data Science Chapter Lead and data platform team to automate frameworks for scalability to the wider business
- Produce creative data visualisations and intuitive graphics to present complex customer analytics findings
- Work closely with data engineers, platform engineers, and fellow data scientists in an agile environment to deliver work that adheres to the processes and quality standards set by the team
What you will ideally bring:
- Strong understanding of the end-to-end ML lifecycle, including MLOps for model deployment, monitoring, and maintenance of customer-facing models
- Tertiary degree (or equivalent experience) in a highly analytical discipline (e.g. data science, statistics, mathematics, computer science, economics, engineering
- Minimum three years' experience in customer analytics, data science, or related analytical roles in competitive consumer retail markets such as energy, financial services, insurance, telecommunications, travel, hospitality or airlines
- Strong knowledge of advanced analytical and statistical techniques including modelling, ML and AI, with specific application to customer analytics use cases
- Excellent communication and presentation skills with the ability to clearly explain key customer insights to a non-technical audience and the ability to influence stakeholders
- Experience in Python, SQL, and familiarity with cloud data platforms (Snowflake, AWS, Azure, or GCP)
- Proficiency with data science libraries and frameworks (pandas, scikit-learn, TensorFlow/PyTorch, MLflow, or similar)
- Understanding of customer analytics concepts including segmentation, churn prediction, customer lifetime value, attribution modelling, and journey analytics
- Excellent problem-solving skills with the ability to think creatively and 'outside of the box' when approaching customer challenges
- Experience with data visualisation tools, such as Power BI, Tableau, or similar, is preferred
- Strong stakeholder management and influencing skills, particularly with customer-facing business teams
- Experience with agile development methodologies and cross-functional collaboration
Our Culture
Jetstar is alive with a sense of adventure. Day in and day out, our teams search for new places to fly, new ways to add value and new ideas to improve performance. If you love the road less travelled, you’ll love working here because ours is a team who innovate every day, thrive on delivery, support each other and celebrate our successes. You’ll be supported to challenge, anticipate and explore while you work will connect people and enrich lives. We encourage diversity and aim to create an environment where our employees feel valued, respected and enabled.
Our Benefits
Team members have access to heavily discounted fares to destinations all over the world – not only for team members, but for their favourite travel companions too. Our staff travel benefit includes discounts on airfares, accommodation, car hire and travel insurance for both domestic and international travel. Discounts can be used within the Jetstar Group airlines, Qantas and other partner airlines.
Inclusion and Diversity
Jetstar is an equal opportunity employer, so by coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. If you have any support or accessibility requirements, we encourage you to advise us at time of application.
Applications Close on the 21st of January
