About the role

Based at any of our head office locations, this permanent, full time, Pricing Data Scientist role reports to the Senior Manager Pricing and Analysis , within BEN’s Products and Analysis team. Responsibilities include undertaking advanced analytics and data science services to support the Pricing Team. This will include developing and implementing best practice predictive models, product feature impact analysis, exploring the use of new or existing data assets and providing expert support within the wider Pricing and Product Performance Team. The Pricing Data Scientist will need to provide advice and reporting on the impact of key Pricing decisions and operational activities on the portfolio.

You will process and analyse large datasets and establish hypotheses for solving high-value business problems. Furthermore, you will frame data within relevant business context to develop repeatable models and glean actionable insights. You will also be required to test hypotheses by combining data observations and developing innovative mathematical and statistical pricing models. The involved testing will include: prototyping, analysing and validating the implementation of the models using statistical and optimization software tools.

You will be required to formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

About you

To be successful in this role you will:

• Ability to adapt analytical insight to effectively communicate findings appropriate for the audience.
• Outcome driven, with a persistent focus on leveraging technology to drive customer and business value.
• Creative problem solver.
• Leverage relationships to influence without authority.
• A minimum of 5 years’ experience in a role focused on Data Science.
• Demonstrated experience with analytics programming languages such as SAS, R & Python
• Database query experience such as SQL Server, Oracle and NoSQL.
• Experience with visualisation tools such as PowerBI.
• Experience with Machine Learning software (desirable). E.g. SparkML, TensorFlow.
• Experience with any of Azure, AWS or Google Cloud (desirable)

How to apply

If you are interested in this opportunity, please apply online with your CV and cover letter.

Position Description: Pricing Data Scientist Ad.docx

For a confidential discussion about what this opportunity can mean for you, please contact Crystal McNabb on crystal.mcnabb@bendigoadelaide.com.au

Please note shortlisting and interviews may take place prior to the advertised close date, so don't delay: apply now!

All internal candidates are required to notify their leader when applying for a new career opportunity and will be asked to acknowledge they have done so upon submission of their application. Please contact the Recruitment Advisor managing this vacancy for a confidential discussion if there are any concerns meeting this requirement during the application process.

At Bendigo and Adelaide Bank we believe a diverse workforce supported by an inclusive culture is central to our success and we actively encourage applications from those who bring diversity of thought to our business. We support candidate requests for adjustment to accommodate an illness, injury or disability to equitably participate in the selection process.