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PwC

Digital Tax, Data Scientist - Manager

PwC
BusinessSingapore - Marina One, SingaporeFull-time5 months ago
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About the role

AI summarised

This is a Manager-level Data Scientist role within PwC's Digital Tax team, combining tax expertise with technology to deliver data-driven solutions. The role involves developing predictive models, LLMs, and analytics to solve business problems, manage projects, and drive client engagements in a professional services environment.

BusinessFull-timeGeneral

Key Responsibilities

  • Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualization.
  • Develop prototypes to solve variety of business problems and work with stakeholders to bring prototypes to live.
  • Develop predictive modelling, 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.
  • Develop Go-to-Market strategies, opportunities and lead client engagements.
  • Stay on top of current business and industry trends.

Requirements

  • Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 4 - 6 years of working experience.
  • Candidate with master's degree will be preferred.
  • Experience in visualising/presenting data for stakeholders.
  • Adequate experience working in a role within a financial / professional services firm or function in a development team.
  • Displaying thorough written/verbal communication skills and ability to present and convey complex ideas to client & internal staff.
  • Good to have experience with Go-to-market and client management.
  • Familiar with building environments on cloud (Azure/Fabric, AWS, GCP).
  • Familiar with Microsoft applications (PowerBI, PowerAutomate, Copilot).
  • Familiar with modern web development stacks like MERN (MongoDB, Express.js, React, Node.js) and experience with building web applications, integrating APIs, SDLC (DevOps, Agile).
  • Basic design ability and prototyping - Knowledge of UI/UX and prototype design.
  • Experience in Unit/Integration testing.
  • Proficient in the use of machine learning, deep learning, LLMs.
  • Familiar with data mining, algorithms, optimizations.
  • Experience with ML libraries (Hugging Face Transformers, LangChain, LlamaIndex).
  • Must have strong proficiency in Python.
  • Good to have experience with containerization (Docker, Kubernetes) and MLOps tools.