About The Position

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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce 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 As part of the R&I Strategy & Operations Enablement team you will lead predictive analytics efforts that assist in risk and quality use cases. As a Senior Manager you will serve as a hands-on analytical lead and thought partner, leveraging your knowledge to frame ambiguous business questions and recommend modeling approaches that translate into decision-ready insights.

Requirements

  • High School Diploma
  • At least 6 years of risk, compliance or PwC experience

Nice To Haves

  • Master's Degree in Data Processing, Analytics, Science, Computer and Information Science, Mathematical Statistics, Artificial Intelligence and Robotics, Business Administration/Management preferred
  • Demonstrating experience in analytics, data science, or applied modeling
  • Leading analytics workstreams end-to-end
  • Working comfortably with evolving or imperfect datasets
  • Proving ability to deliver stable, review-ready outputs
  • Demonstrating competency in machine learning and predictive analytics tools
  • Excelling in communication with technical and non-technical audiences
  • Having a proactive approach to aligning on scope and requirements

Responsibilities

  • Assess data constraints and recommend solutions for actionable insights
  • Work with cross-functional teams to drive data-driven decision making
  • Apply sound judgment in analytical processes
  • Mentor team members to enhance their analytical skills and capabilities
  • Foster a culture of innovation and continuous improvement in analytics

Benefits

  • PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
  • To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

High school or GED

Number of Employees

5,001-10,000 employees

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