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

PwC Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

PwC Singapore is seeking a Data Analyst to join their Digital Tax team. The role involves utilizing data analysis and visualization to enhance business processes in tax and technology contexts. Ideal candidates should have a degree in a quantitative field with 2–3 years of relevant experience.

The role supports clients by developing predictive models and optimizing data strategies, requiring strong skills in statistics, programming, and communication.

Work visa sponsorship and government clearance are available for qualified candidates.

Qualifications

• 2–3 years of working experience in data analytics.
• Knowledge in developing end-to-end statistical and data mining techniques.
• Experience in financial/professional services firm or engineering capacity.

Responsibilities

• Partner with stakeholders to understand data value through analytics.
• Develop predictive modeling and data analysis techniques.
• Mine data to develop new products and optimize strategies.

Skills

Statistical modelling

Data mining

Machine learning

SQL

Python

Cloud platforms

Education

Degree in a quantitative field

Job description

Job Description

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 harness the power of information to optimise business performance and commercialise data opportunities.

Responsibilities

• Partner 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 product offerings or drive optimisation and improvement of product development, marketing techniques and business strategies.
• Develop, utilise and maintain predictive/LLM models to identify targeted business outcomes, measure business risk, and optimise 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.

Qualifications

• 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 statistical and data mining techniques.
• Experience working in a data analytics role within a financial / professional services firm or engineering capacity.
• Proficient in statistical modelling, algorithms, data mining and machine learning.
• Programming experience in SQL, Python, Cloud platforms and other relevant technical skills.
• Familiarity with LLMs preferred.
• Strong written and verbal communication skills and ability to convey complex ideas to clients and internal staff.

Other Requirements

Work visa sponsorship available: Yes. Government clearance required: Yes.