Data Scientist

vor 3 Wochen

Council of the City of Sydney, Österreich MARS PARTNERSHIP PTY. LTD. Vollzeit

MARS PARTNERSHIP PTY. LTD. – Sydney CBD NSW $100,000 - $120,000 a year Permanent 3mo ago , from MARS PARTNERSHIP PTY. LTD. Mars Recruitment is seeking a talented Data Scientist to join a growing Financial Services organisation. In this role, you will analyse complex datasets to uncover actionable insights, build and maintain predictive models, and prepare reporting to support data‑driven decision‑making. You will leverage statistical analysis, machine learning, and data visualisation techniques to identify patterns, make predictions, and support strategies that improve business outcomes and manage risk. Key Responsibilities Analyse large and complex datasets using statistical techniques to provide actionable business insights. Collaborate closely with data engineers to maintain and develop datasets for ongoing analysis and reporting. Identify new data sources that can enhance analytics and reporting capabilities. Support improvements to data governance practices and data management frameworks. Develop and apply algorithms and models to mine data, clean and validate datasets, and improve model accuracy. Interpret trends and patterns with clear objectives in mind. Implement analytical models in production through collaboration with software developers and machine learning engineers. Identify business challenges that can be addressed with data‑driven solutions. Stay up to date with the latest advancements in data science. Required Experience Minimum 2 years of experience in a relevant data science role; experience in banking or insurance is advantageous but not essential. Bachelor's degree in Computer Science, Mathematics, Statistics, Actuarial studies, Applied Finance or a related field. Master's degree in Data Science or related discipline is highly desirable. Proficiency in Python or R, SQL, and Tableau or Power BI for data visualisation. Knowledge of data security, privacy, and regulatory compliance. Excellent communication and interpersonal skills, with the ability to convey insights effectively. Ability to work independently and collaboratively. Solid understanding of mathematics and statistics for data analysis. Ability to explore, clean, transform, and visualise data effectively. Familiarity with machine learning algorithms for predictive modelling. Strong business acumen to translate data insights into actionable strategies. If you would like to learn more about this opportunity, apply below and we will be in touch. #J-18808-Ljbffr

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