July 2, 2024
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Haymarket, New South Wales, Australia, Australia
July 2, 2024
Apply NowJob description
Lead Data Scientist with direct reports (MUST HAVR RETAIL BANKING OR FINANCIAL SERVICE EXPERIENCE)
Note
Must have
Retail Banking
experience!
The Client
Our client is an Australian market leader in the Finance Industry. They boast some of the industry's largest and most complex data assets. Employing the industry's brightest analytical minds they offer a hot bed for innovation and offer unparalleled opportunities for career development and growth.
The Role
We are looking for a Senior Data Scientist to work in the team to develop, implement and optimise analytical and predictive models to drive their competitive advantage and market-leading performance. You will create and manage the pipeline of work to ensure delivery within timeframes & ensure effective adoption of data science models and outputs. You will champion data science across numerous stakeholders to demonstrate the benefits of data science in driving improved business outcomes.
Key Responsibilities
Working closely with key stakeholders to understand business questions and execute data science projects that deliver business solutionsLead a team (approx 6 direct reports)Working on complex and extremely varied data sets from some of Australia’s largest organisations to solve business problems that make a tangible differenceDeveloping data science products and solutions for our stakeholders as well as for our data science teamEnd-to-end data science execution including scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive modelsWriting highly optimized code to advance our internal Data Science ToolboxWorking in a multi-disciplinary environment with specialists in machine learning, engineering, and data engineeringAdding real-world impact to your academic expertise, as you will need to write papers and present at meetings to non-technical stakeholders who need to understand what you are presenting
Experience And Skills
Must have experience working within a retail banking environment. Consulting experience is also nice to have.Relevant tertiary qualifications (Masters) in Computer Science, Machine Learning, Data Science, Applied Statistics, or MathematicsProven experience in a similar role where you have applied advanced analytical and statistical methods in the commercial world and data science methods to business problems.You have exceptional communication skills with the ability to engage with a range of stakeholders and strong presentation skills to explain complex analytical concepts.Advanced working knowledge of analytical programming using Python and SQL along with exposure to Azure, AWS or GCP.Experience with Generative AI including LLMs
Apply
To apply for this position please click on the 'Apply' button below or send your resume to kiara@correlateresources.com#J-18808-Ljbffr
Note
Must have
Retail Banking
experience!
The Client
Our client is an Australian market leader in the Finance Industry. They boast some of the industry's largest and most complex data assets. Employing the industry's brightest analytical minds they offer a hot bed for innovation and offer unparalleled opportunities for career development and growth.
The Role
We are looking for a Senior Data Scientist to work in the team to develop, implement and optimise analytical and predictive models to drive their competitive advantage and market-leading performance. You will create and manage the pipeline of work to ensure delivery within timeframes & ensure effective adoption of data science models and outputs. You will champion data science across numerous stakeholders to demonstrate the benefits of data science in driving improved business outcomes.
Key Responsibilities
Working closely with key stakeholders to understand business questions and execute data science projects that deliver business solutionsLead a team (approx 6 direct reports)Working on complex and extremely varied data sets from some of Australia’s largest organisations to solve business problems that make a tangible differenceDeveloping data science products and solutions for our stakeholders as well as for our data science teamEnd-to-end data science execution including scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive modelsWriting highly optimized code to advance our internal Data Science ToolboxWorking in a multi-disciplinary environment with specialists in machine learning, engineering, and data engineeringAdding real-world impact to your academic expertise, as you will need to write papers and present at meetings to non-technical stakeholders who need to understand what you are presenting
Experience And Skills
Must have experience working within a retail banking environment. Consulting experience is also nice to have.Relevant tertiary qualifications (Masters) in Computer Science, Machine Learning, Data Science, Applied Statistics, or MathematicsProven experience in a similar role where you have applied advanced analytical and statistical methods in the commercial world and data science methods to business problems.You have exceptional communication skills with the ability to engage with a range of stakeholders and strong presentation skills to explain complex analytical concepts.Advanced working knowledge of analytical programming using Python and SQL along with exposure to Azure, AWS or GCP.Experience with Generative AI including LLMs
Apply
To apply for this position please click on the 'Apply' button below or send your resume to kiara@correlateresources.com#J-18808-Ljbffr
