Senior / Data Scientist

About Ampol

Powering better journeys, today and tomorrow.

Our company has always been about more than fuel. Fuel may be the foundation of our business, but our motivation and purpose comes from the people, businesses, industries and communities we engage with. From our origins until today, we’ve always been inspired by the role we can play in people’s lives – to keep them moving, to make journeys happen. Here at Ampol, we are proud of our heritage as Australia’s only owned fuel brand.

For over 100 years we have supported Australians to travel far and wide, and we’ll be here for 100 more powering better journeys for today and tomorrow.

About the role:

The Data Scientist T&S is responsible for leading the generation and delivery of machine learning and other advanced analytical solutions, with a key focus area to create trade recommendations or other tradable insights for Ampol’s Trading and Shipping business.

The role will combine hands-on problem solving with responsibility for leadership of other technical team members and support for production models.

This position is a part of Ampol’s Data, Analytics and AI team, a centre of excellence for big data and advanced analytics within Ampol, and works in a cross-functional product squad.

You’ll take us further by:

1. Maintain a strong understanding of the Trading business context, data capabilities, Data product roadmap, business processes, risk management frameworks, and other related opportunities relating to Ampol’s Trading and Shipping business
2. Lead the development of new machine learning and analytics opportunities, from early exploration phase through to delivery and deployment, resulting in tradable insights and profit
3. Individually develop high quality data science solutions for specified projects
4. Engage business stakeholders to drive understanding and alignment on solutions
5. Collaborate with product manager and data architecture to ensure extensible and reliable platforms and data products, which support the growth of analytics capabilities over time
6. Champion the use of agile project and product management techniques in Data Science
7. Ensure ongoing reliability and quality of productionised analytic solutions e.g. availability and scheduling, integration, change management, resource optimisation, documentation etc
8. Management of team members, including on-the-job coaching, professional development, performance management, and administrative duties
9. Ensure QA processes are met as defined by data science manager
10. Work closely with key stakeholders, including the broader Data Science team, Data Product/Project/Program managers, Commercial Analysts, and Traders.

We’d love it if you have:

1. 5+ years in technical capacity delivering machine learning and other advanced analytics projects
2. Demonstrated success delivering models supporting front-line trading teams with actionable trade strategies and measurable P&L impact
3. Experience in developing novel data science solutions
4. People and delivery management
5. Experience working with large and unstructured data sets to enable model development
6. Fluency in Python, Spark
7. Familiarity with cloud platform capabilities supporting data science delivery with Azure experience preferred
8. Familiarity with git flow and agile product development