Tax Digital Tax (Data Scientist) Experienced AS SE

How will you value-add

A career in our Digital Tax Unit will provide you with the opportunity to work on Tax technology strategy and solutions. Specific responsibilities include but are not limited to:

• Develop front-end back-end frameworks to support various applications.

• Fast prototyping to demonstrate Proof-of-concepts MVPs and scale prototypes into actual products.

• Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualization.

• Develop predictive modeling statistics data mining and other data analysis techniques to collect explore and extract insights from data.

• Mine and analyse data from data sources to develop new products offering or drive optimisation and improvement of product development marketing techniques and business strategies.

• Develop utilise and maintain predictive/LLM models to identify targeted business outcome measure business risk and optimize user experiences.

• Use data and models to drive the development of risk mitigation strategies and interventions for clients while preserving and improving the user experience.

• Manage end to end projects - clarify requirements and devise research approaches.

• Stay on top of current business and industry trends.

About you

• Degree in a Quantitative field (Data Science Computer Science Applied Statistics Mathematics etc.) with at least 2 - 3 years of working experiences

• Knowledge and experience in developing end-to-end

• Knowledge and experience in statistical and data mining techniques

• Experience visualising/presenting data for stakeholders

• Adequate experience working in a data analytics role within a financial / professional services firm or in an engineering capacity.

• Proficient in the use of statistical modelling algorithms data mining and machine learning.

• Programming experience in SQL Python Cloud platforms and other relevant technical skills.

• Familiarity with mathematical statistical and programmatic knowledge with LLMs will be preferred.

• Displaying thorough written/verbal communication skills and using presentation specialization to convey complex ideas to client & internal staff.