Permanent roles within a dynamic insurance business | Opportunity to work on projects across a number of divisions Our client has approval for a number of Senior Data Scientist Data Scientist roles within their Group Data division.
The team is currently 4 in size and they are looking to double due to an increasing need to develop their Machine Learning and Deep Learning capabilities.
They are looking for a mix of experience levels and technical strengths.
Key Responsibilities includes: Establish a Data Science platform on AWS, building in machine learning capability and a range of statistical models Play a role in thought-leadership to promote best practice data science within the organisation Work with structured and unstructured data sets,



build analytical models using R Python Utilise machine learning tools to drive more efficient and accurate outcomes Work closely with project teams from initial conception to delivery and interact with a range of senior business stakeholders About you: 5-10 years' experience as a Data Scientist (or equivalent) Strong experience required working with AWS tools and platforms, SageMaker (or equivalent) highly preferable Robust technical background in at least two of SAS, R and Python Financial services/insurance knowledge beneficial Passion for machine learning, professional development Innovative thinking and willingness to experiment Strong communication skills and the ability to work in teams.
Our client provides a great learning culture and is investing heavily in new technology.
WFH/hybrid model with Sydney CBD office location.
For more information, please APPLY NOW, or contact Chris Gray on ************ or ************************** LinkedInTwitterFacebookEmailWhatsAppShare

📌 Senior Data Scientist (New South Wales)
🏢 SKL Actuarial
📍 New South Wales