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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Digital Tax Manager / Senior Manager - AI Go-to-Market

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A degree in a quantitative field such as Data Science, Computer Science, Applied Statistics, or Mathematics, and at least 5–7 years of work experience; a master's degree is preferred.
  • Strong proficiency in Python.
  • Proficiency in machine learning, deep learning, and large language models.
  • Familiarity with data mining, algorithms, and optimization.
  • Adequate experience in a role within a financial or professional services firm, or in a development team.
  • Experience with unit and integration testing.
  • Experience with machine-learning libraries including Hugging Face Transformers, LangChain, and LlamaIndex.
  • Experience visualizing and presenting data to stakeholders, with written and verbal communication skills and the ability to convey complex ideas to clients and internal staff.
  • Familiarity with building environments on cloud platforms such as Azure/Fabric, AWS, or GCP.
  • Familiarity with Microsoft applications including Power BI, Power Automate, and Copilot.
  • Familiarity with modern web development stacks such as MERN (MongoDB, Express.js, React, Node.js), and experience building web applications, integrating APIs, and working with software development life cycle practices including DevOps and Agile.
  • Basic design and prototyping ability, including knowledge of user interface/user experience and prototype design.

Responsibilities

  • Partner with internal stakeholders and/or clients to help them understand the value in their data through analytics and visualization.
  • Develop prototypes to solve business problems and work with stakeholders to bring prototypes to life.
  • Develop predictive modeling, statistics, data mining, and other data-analysis techniques to collect, explore, and extract insights from data.
  • Mine and analyze data from data sources to develop new product offerings or improve product development, marketing techniques, and business strategies.
  • Develop, use, and maintain predictive and large language models to achieve targeted business outcomes, measure business risk, and optimize user experiences.
  • Use data and predictive models to develop risk-mitigation strategies and interventions for clients while preserving and improving user experience.
  • Manage projects end to end, clarify requirements, and devise research approaches.
  • Develop go-to-market strategies and opportunities, and lead client engagements.
  • Stay current with business and industry trends in artificial intelligence.

Desired Qualifications

  • Experience with containerization tools such as Docker and Kubernetes, and MLOps tools.
  • Experience with go-to-market activities and client management.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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