Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Director
Job Description & Summary
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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
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.
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 strategic direction and execution of innovative data science initiatives within the supply chain domain. As a Director, you will drive business growth by overseeing multiple projects, mentoring emerging leaders, and fostering impactful client relationships that enhance PwC's reputation for quality and integrity.
Responsibilities
- Lead the strategic execution of data science projects within the supply chain sector
- Drive business development initiatives to enhance market presence
- Mentor and develop emerging leaders within the team
- Cultivate and maintain sturdy client relationships to uphold the firm's reputation
- Oversee the delivery of multiple impactful projects simultaneously
- Promote innovative solutions that leverage data analytics for client success
- Maintain adherence to professional standards and established practices in data management
- Foster a collaborative environment that encourages creativity and technological advancement
What You Must Have
- Bachelor's & Master's Degree
- 15 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Proven project management skills for data science projects
- Demonstrated leadership in data science team direction
- Understanding of advanced analytics and AI/ML in Supply Chain
- In-depth knowledge of supply chain processes and logistics
- Experience in developing demand forecasting models
- Familiarity with SQL and Python/Pyspark programming
- Working knowledge of containerization and data pipeline orchestration
- Contributing to innovation and intellectual capital development
Travel Requirements
Not Specified
Job Posting End Date
