Associate - Digital Tax (Data Scientist)
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Line of Service
TaxIndustry/Sector
Not ApplicableSpecialism
General Tax ConsultingManagement Level
AssociateJob Description & Summary
We believe that challenges are better solved together. That's why you'll join a diverse, global community of solvers - an unexpected mix of people that come together to build trust in society and solve important problems. With us, you are encouraged to lead with your heart and values, and where your unique skills are developed and put to work in unexpected and exciting ways, superpowered by technology.Our Tax Services help businesses and individuals to achieve their tax objectives in today’s global landscape with the experience and foresight to make the best strategic decisions. As one of the largest tax practices in Singapore, we are a trusted advisor to clients and foster a collaborative relationship, powered by the latest technology and data-driven insights to make decisions in tax strategy, planning and compliance.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
- Develop, utilize and maintain Generative AI models and other data analysis techniques to collect, explore and extract insights from data.
- Handle administrative tasks in risk management by effectively communicating and collaborating with various stakeholders.
- Manage end to end projects - clarify requirements and devise research approaches.
- Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 1 year of working experience.
- Experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
- Proficient in Python.
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?
NoGovernment Clearance Required?
NoJob Posting End Date