About the Company
A large and well known Australian business, providing financial intelligence services.
About the Role
As Data Scientist you will support the finance alert project, a program to detect financial crime risks by joining disparate and distributed data silos, you will be working on building a technical platform that uses confidential computing technology to enable federated data analysis while maintaining strict controls over privacy and security of data
Note you must have the ability to obtain and maintain a NV1 security clearance and be an Australian Citizen with a minimum of 5 years local experience
Experience
- Experienced as a Data Scientist
- A Miniumum of 5 years IT experience in Australia
- A post-graduate degree in Data Science or a related field (e.g. Applied Mathematics, Statistics, Computer Science) or equivalent industry experience
- A track record in delivering data science solutions to improve business outcomes
- Good knowledge of privacy-preserving machine learning techniques, including different homomorphic encryption schemes, secure multi-party computation, differential privacy
- Excellent programming skills.
- Experience with one or more of the following: R, Python, Scala
- Strong skills in data wrangling with complex datasets on large, distributed databases (Parallel SQL, Spark)
- Excellent written and oral communication skills
- Strong inter-personal and team work skills, and proven ability to be self-motivated
- A commitment to continual learning and skills development
- Prefer Baseline or NV1 Clearance or the ability to get this
Please APPLY NOW to Vanessa Knispel with your full resume in Word format for consideration as this role closes 13th June
To be eligible for this opportunity, you must be an Australian Citizen with 5 years IT experience in AUSTRALIA as this organisation requires a you obtaining a high level government security clearance
For more information or a confidential discussion, please contact Vanessa Knispel quoting reference: 195421
Please click the apply button
