Director - Data Science

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Lead in line with our values and brand.
• Develop new ideas, solutions, and structures; drive thought leadership.
• Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
• Balance long-term, short-term, detail-oriented, and big picture thinking.
• Make strategic choices and drive change by addressing system-level enablers.
• Promote technological advances, creating an environment where people and technology thrive together.
• Identify gaps in the market and convert opportunities to success for the Firm.
• Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will lead the development of innovative Generative AI solutions that drive business transformation. As a Director you will set the strategic direction for AI initiatives, fostering impactful client relationships while mentoring the next generation of leaders. This role offers a unique chance to leverage advanced technologies and collaborate with cross-functional teams to create scalable applications that enhance client satisfaction and drive growth.

Responsibilities

• Lead the strategic vision for Generative AI projects
• Drive the development of innovative solutions that facilitate business transformation
• Cultivate stronger relationships with clients to enhance engagement and satisfaction
• Mentor and guide emerging leaders within the team
• Collaborate with diverse teams to implement scalable applications
• Promote the use of advanced technologies to improve operational efficiency
• Identify market opportunities and align initiatives for growth
• Maintain adherence to professional standards and ethical practices
  
  

What You Must Have

• Bachelor's Degree
• 16 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelor's or Master's Degree in relevant fields
• Proficiency in GenaAI application development
• Leveraging AI and ML technologies
• Managing scalable and resilient applications
• Understanding data engineering principles
• Familiarity with AI and ML algorithms
• Knowledge of cloud platforms and services
• Excelling in problem-solving and analytical skills
• Self-motivating and proactive in learning