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Jobs in Australia   »   Jobs in Sydney   »   Information Technology Job   »   Data Scientist & Mathematician
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Data Scientist & Mathematician

Marcus Castle

Marcus Castle company logo
Seeking a mathematician with expertise in Python/R for an academic candidate with exceptional university results
Your new organisation:

We are seeking a highly academic data scientist with mathematical pedigree from a leading university to work in a small firm with offices across Australia, Europe, and Asia.

The company is made up of mathematicians, statisticians and software engineers who are incredibly delivery focused, working with huge data sets for their clients. The team is dedicated to rewarding hard work and innovative ideas, focusing on algorithmic trading.

Your new role:

Working with Senior Mathematicians in the Sydney office, we are seeking a recent graduate or professional with a couple of years' experience in data science. The ideal candidate will have a degree in Maths, Data Analytics, Engineering, Actuarial or Physics.

Large sets of legacy data are cleansed and structured overseas and then shipped to Sydney where you will be working on building models and predictive analytics. Data cleansing, introducing factors and regression modelling will be part of the role, and you will ideally have experience extracting large data sets and working closely with programmers.

What you'll need to succeed:


A background in anything 'Maths heavy'; such as Mathematics, Physics, Actuarial or Data Science
Highly academic with excellent university results, ideally from a leading university (WAM 85+ / High Distinction / First Class Honours / A / High GPA Equivalent)
Proficiency in R and SQL, with strong coding skills and willingness to complete a coding challenge
Experience with statistical forecasting
A passion for problem-solving and complex mathematics


What you need to do now:

To find out more about this opportunity, please contact Marcus Castle using the details below:

T: 02 9249 2285
E: [email protected] Please click here to apply.

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