PP
Full time

Digital Tax (Business Analyst/Developer) - Experienced AS / SE

PricewaterhouseCoopers Professional Services Pte.
Singapore 3 days ago
AI overview

This role involves partnering with stakeholders to leverage data analytics and visualization for business insights. Responsibilities include developing predictive models, mining data for product development and strategy optimization, and managing end-to-end projects. The position requires a degree in a quantitative field and at least 2-3 years of experience in data analysis or engineering, with proficiency in SQL and Python.

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Associate

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at

Our Digital Tax team comprises both Tax and Technology subject matter experts, working in tandem to transform and automate business processes across areas such as corporate income tax, transfer pricing, and goods and services tax. Using a combination of off-the-shelf applications and bespoke products, we provide effective digital solutions to ease the burden of manual processes so that efforts can instead be channelled into navigating the modern-day Tax landscape.

We partner with clients and internal stakeholders across various industries to understand their business landscape and needs, adopting a data-driven approach in driving value creation. By combining our industry expertise and technology-powered solutions, we are able to harness the power of information to optimise business performance and commercialise data opportunities.

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:

  • 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 experience

  • Knowledge and experience in developing end-to-end

  • Knowledge and experience in statistical and data mining techniques

  • 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

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

Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Digital Tooling, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

Key details

SectorTechnology
ContractFull time
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