Ampol Limited | Data Scientist
vor 22 Stunden
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Company: Ampol
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 come 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.
Tech, Digital & Data @ Ampol
As we embark on a transformative digital evolution, we are committed to making Ampol easier to work with and within, enhancing every interaction through innovative solutions.
Our approach is anchored in data-driven decision-making and advanced technology integration, allowing us to create seamless and personalized customer experiences that truly resonate.
By prioritizing value-based decisions and outcomes, we ensure that our digital transformation will drive meaningful impact and measurable outcomes.
We are dedicated to empowering our business through technology-enabled differentiation, strengthening our foundations to build sustainable value for the future.
Our team thrives on the challenge of innovation—dreaming up big ideas, questioning the norm, and tackling complex problems.
Together, we are shaping a future that not only meets the needs of today but anticipates the demands of tomorrow.
Join us as we embrace this journey of transformation, committed to delivering exceptional value and experiences that make a lasting impact on our business, customers and industry.
This role is a 12 Month Fixed Term Contract
About the role:
The Data Scientist is part of the Data, Analytics and AI team, which is a centre of excellence for big data and advanced analytics within Ampol.
This is a centralised data team serving a diverse range of problem spaces within the business across Australia, New Zealand and Singapore.
You would be responsible for model development and deployment end-to-end, including ongoing maintenance and governance.
Day to day, the role will be a mixture of business strategy and technical delivery.
You can expect to be partnering with different business units and deep diving into a problem space, working to drive business decisions via modelling and analysis.
You'll take us further by:
Translate business questions into analytical requirements and identifies analytical techniques (including machine learning) to deliver business insights and solutions Partner with business stakeholders to develop an understanding of the business context, needs and problems relating to assigned project areas Perform data ETL as required to deliver modelling across a range of varied/large data sets Identify and develop relevant data inputs from internal and external sources including Snowflake Develop data science models using appropriate tools (including Dataiku DSS), languages and packages to address the identified objectives according to team coding and modelling standards Refine model parameters and validates models to deliver best possible model performance Document processes and work in a way which makes the work understandable by colleagues Contribute to improved visibility and awareness of the Actionable Insights team to enhance analytical capability We'd love it if you have:
Contribute to improved visibility and awareness of the Actionable Insights team to enhance analytical capability 3+ years in technical capacity delivering machine learning and other advanced analytics projects in business context Expertise working with structured and unstructured data, in a big data platform Experience using analysis to deliver business insights and solutions Strong Expertise in Python, and/or R Ability to write SQL and work with relational databases Machine learning techniques including classification, predictive modelling, time Series Analysis, Unsupervised Learning Strong understanding of statistics, regression, and experimental design Able to use data visualisation toolsets (e.g.
Tableau, PowerBI, RShiny, Dash) Nice to Have:
Experience using Spark, Hadoop, or other distributed computing frameworks Experience with Microsoft Azure and Dataiku platforms Able to work via command line / shell commands Experience in managing and deploying code through Git Industry experience in retail, marketing, or fuel/commodities markets Experience with geo-spatial databases and analysis We'll take you further by:
We are flexible.
Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value.
We value recognition.
We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values.
Career development and learning opportunities including LinkedIn Learning and other tailored training solutions.
Need some wheels?
Novated Lease options are available.
Care for your Community.
Spend one paid day a year volunteering with one of our Ampol Foundation partners.
We're an equal opportunity workplace.
We not only embrace diversity and inclusion; we celebrate what makes you unique.
We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender).
We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.
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