Line of Service
TaxIndustry/Sector
Not ApplicableSpecialism
Product InnovationManagement Level
AssociateJob Description & Summary
We believe that challenges are best solved together. That’s why, when you join us, you become part of a diverse and global community of problem-solvers. You'll find an unexpected mix of people who bring their unique expertise to build trust in society and tackle important issues. Here, we welcome and encourage you to lead with value and inspiration, question and challenge assumptions, as well as embrace new opportunities to deliver quality outcomes in exciting and unexpected ways, all with the support of technology.How will you value-add?
A career in our Digital Tax Unit will provide you with the opportunity to works on Tax technology strategy and solutions. Specific responsibilities include but are not limited to:
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 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.
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Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
YesJob Posting End Date