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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

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

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold 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 Data and Analytics Engineering team, you lead the development of predictive models and analytics initiatives to drive business growth. As a Manager, you guide team members and manage stakeholders using data and insights, supporting project success and maintaining exemplary standards. You collaborate with data engineering and business intelligence teams to automate data pipelines, apply technical knowledge in statistical and machine learning modeling, and deliver actionable insights to business stakeholders.

Responsibilities

- Lead the creation and implementation of predictive models to support business objectives

- Guide and mentor team members in data-driven decision-making processes

- Manage stakeholder relationships to secure alignment and project success

- Collaborate with cross-functional teams to streamline data workflows

- Apply proficiency in statistical and machine learning techniques to solve complex problems

- Deliver insights that inform strategic business decisions

- Maintain adherence to exemplary standards in deliverables

- Foster a culture of continuous improvement and innovation

What You Must Have

- Bachelor's Degree

- 5 years of experience

What Sets You Apart

- Master's Degree in Mathematics, Statistics, Computer Science, or Engineering preferred

- Leading analytics initiatives and building predictive models

- Running multivariate regressions and causal inference analysis

- Collaborating with data engineering and business intelligence teams

- Applying technical knowledge in statistical and machine learning modeling

- Developing business insights using data and statistical inference

- Acting as a subject specialist overseeing technical projects

- Delivering insights to distill complex analytics into actionable insights

- Proficient in SQL, Python, PySpark, and machine learning frameworks

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.



The salary range for this position is: $110,000 - $141,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance