Line of Service Tax Industry/Sector Not Applicable Specialism Product Innovation Management Level Director 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 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com. 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 visualisation. - 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 optimise user experiences. - Use data and predictive 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 for AI About you - Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 12 years of working experience. Candidate with master’s degree or PhD will be preferred - Must have strong proficiency in Python - Proficient in the use of machine learning, deep learning, LLMs. Familiar with data mining, algorithms, optimisations - Adequate experience working in a role within a financial / professional services firm or function in a development team - Experience in Unit/Integration testing - Experience with ML libraries (Hugging Face Transformers, LangChain, LlamaIndex) - Experience in visualising/presenting data for stakeholders. Displaying thorough written/verbal communication skills and ability to present and convey complex ideas to client & internal staff - 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) - Knowledge of UI/UX and prototype design - Experience with containerization (Docker, Kubernetes) and MLOps tools - Strong experience with Go-to-market and client management #LI-AL1 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, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Rapid Experimentation, Reframing {+ 16 more} 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
Summary
Builds AI and data solutions for tax and digital transformation: develops prototypes, predictive and LLM models, visualizations, and go-to-market strategies while leading client engagements. Requires a quantitative degree, 12+ years experience, Python, ML/deep learning, cloud, MLOps, and strong client management.
Responsibilities
Partner with stakeholders and clients to enable data value through analytics and visualisation; develop prototypes; develop predictive modelling, statistics, data mining, and other data analysis techniques; mine and analyse data to develop new product offerings or optimise product development, marketing, and business strategies; develop, utilise, and maintain predictive/LLM models; use data and predictive models to drive risk mitigation strategies; manage end-to-end projects; develop Go-to-Market strategies and lead client engagements; stay current on AI business and industry trends.
Qualifications
Degree in a quantitative field; at least 12 years working experience; strong proficiency in Python; proficient in machine learning, deep learning, and LLMs; familiar with data mining, algorithms, and optimisations; adequate experience in a financial/professional services firm or development team; experience in unit/integration testing; experience with ML libraries; experience visualising and presenting data; strong written/verbal communication; familiar with cloud environments; familiar with Microsoft applications; familiar with MERN stack and web applications/APIs/SDLC; knowledge of UI/UX and prototype design; experience with containerization and MLOps; strong Go-to-market and client management.
Education requirements
Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.); master's degree or PhD preferred.
Experience requirements
At least 12 years of working experience; adequate experience in a financial/professional services firm or development team.