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About the Role

As a Senior Data Scientist, you will play a pivotal role in shaping how data science and AI come to life at Qantas. You will lead the design, delivery, and ongoing operation of high-impact AI/ML and data products, and their use in Qantas’ AI ambitions. You will bring together systems, data, processes, and people to unlock stronger customer and commercial outcomes, while maintaining a clear focus on data security, governance, and compliance.

Responsibilities

Help shape our data transformation from the outset, identifying business needs, defining and building data products to support our ambition to bring AI to life at scale across the airline.
Build deep expertise in how our data reflects the way the business operates, and use it to guide the business on its AI journey.
Deliver end-to-end, scalable and innovative AI/ML solutions, including productionisation, automation, and implementation of AI models for the respective business domain.
Actively contribute to improving ML Ops practices and standards.
Champion AI solutions and contribute to the Data Science community.
Given a business problem to solve, help uncover insights from diverse data sources and turn them into practical recommendations that support strategic decision-making.
Lead the scoping and delivery of key analytics projects, developing a deeper understanding of customer behaviour, operational drivers, how we forecast and budget, and the critical inputs that influence business performance.
Provide expert technical advice and direction to project teams on complex research and insight initiatives.
Partner closely with Technology & Platform teams, Product, Support, Change, Commercial Process Integration, Data Science and Engineering teams to translate business challenges into fit-for-purpose analytical solutions.
Influence strategic decision-making by providing clear, practical recommendations, robust modelling outputs and stakeholder-friendly insights.

Requirements

Tertiary qualifications in applied statistics, mathematics, computer science, data science, econometrics, engineering or a related quantitative field; post-graduate qualifications are advantageous.
5+ years’ experience in a data science, analytics, AI, developer or similar role, ideally within aviation, retail, telco, finance or a commercial analytics environment.
Hands-on ML/AI experience is essential.
Practical experience with modern data science tooling e.g. Python, Docker, SQL, Git and CI/CD systems, dbt, Airflow etc.
Experience with data visualisation tools e.g. Streamlit, Power BI and bespoke dashboarding tools.
Experience using AI-assisted coding to accelerate development, with appropriate guardrails and review to ensure the output is correct.
Confident using statistical techniques such as regression analysis, hypothesis testing, cluster analysis and time series analysis on large datasets.
Ability to solve complex business problems and translate business challenges into analytical requirements.
Strong stakeholder engagement, communication, influencing and presentation skills, with the ability to explain complex insights and recommendations to senior leaders.
A positive, pragmatic and resilient mindset, with the ability to work collaboratively, champion new ways of working.
Experience building data models on a modern cloud data platform, including data cataloguing, lineage and metadata management tooling.

Skills

Python
Docker
SQL
Git
CI/CD systems
dbt
Airflow
Streamlit
Power BI
Regression analysis
Hypothesis testing
Cluster analysis
Time series analysis
Data visualisation
AI-assisted coding
Data modelling
Data cataloguing
Data lineage
Metadata management

Location

Mascot office

Work Type

Hybrid working
Full time
Permanent

Experience Level

Senior
5+ years’ experience

Education Level

Tertiary qualifications in applied statistics, mathematics, computer science, data science, econometrics, engineering or a related quantitative field
Post-graduate qualifications are advantageous

Benefits

Staff Travel Benefits from Day One
Heavily discounted air travel within Australia and across the globe, both for you and your family and friends
Exclusive deals on accommodation and holidays
Flexible leave options
18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1)
Additional purchased leave options for eligible employees
Discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment
Salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships
Support for wellbeing, including mental health resources and a tailored nutrition plan

About the Company

Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline.
Qantas has a range of subsidiary businesses that support the overall operations of the Group.
The Qantas Group’s main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services.
You’ll join a team where creativity and passion are encouraged.
Our people come together to allow us to dream big and deliver successfully.
There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas.
Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time.
You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities.
While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.

Equal Opportunity

Qantas 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 from every other kind of background – to apply.
We are committed to creating an inclusive workplace.
Talk to us about how this job could be flexible for you.