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PwC Labs - Senior Model Ops Developer - Manager in Pittsburgh, Pennsylvania

Specialty/Competency: IFS - Internal Firm Services - Other

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.

The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our technology functions. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm. AI Lab is focused on identifying and prioritizing emerging technologies to get the most out of our investments.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Develop new skills outside of comfort zone.

  • Act to resolve issues which prevent the team working effectively.

  • Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

  • Analyse complex ideas or proposals and build a range of meaningful recommendations.

  • Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

  • Address sub-standard work or work that does not meet firm's/client's expectations.

  • Use data and insights to inform conclusions and support decision-making.

  • Develop a point of view on key global trends, and how they impact clients.

  • Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

  • Simplify complex messages, highlighting and summarising key points.

  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Additional Educational Requirements :

In lieu of a Bachelor Degree, 12 years of professional experience involving technology-focused process improvements, transformations, and/or system implementations

Minimum Years of Experience :

4 year(s)

Preferred Qualifications :

Degree Preferred :

Master Degree

Preferred Fields of Study :

Analytics, Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Management Information Systems, Mathematics, Computer Engineering

Preferred Knowledge/Skills :

Emerging Tech Lab Developers create rapid proofs of concept to test hypotheses about how emerging technologies can be applied to business use cases. We learn and explore at the forefront of Artificial Intelligence, Blockchain, Internet of Things, Robotics, Virtual Reality and Augmented Reality. The lab’s role is to generate prototypes, demos and learnings that PwC teams and clients can use when deciding how to apply and invest in emerging technologies.

Demonstrates extensive abilities and/or a proven record of success as a team leader, as well as the following preferred technical qualifications:

  • Working experience in data management, deploying and managing ML models on cloud platforms like Azure, AWS or GCP;

  • Deploying machine learning models in the cloud for real time and batch inference use cases;

  • Designing, developing and deploying models based on modern deep learning architecture;

  • Building scalable machine learning systems;

  • Understanding of containers and container orchestration systems(Kubernetes / Docker);

  • Demonstrating the ability to continuously learn new technologies and quickly evaluate their technical and commercial viability;

  • Understanding of machine learning frameworks such as TensorFlow, PyTorch, Scikit Learn and algorithms such as random forests, ensemble methods, deep neural networks, convolutional neural networks etc.);

  • Building machine learning models and systems, interpreting their output, and communicating the results;

  • Creating end-to-end technology prototypes and/or machine learning models for a given business use case or application;

  • Balancing multiple projects simultaneously and a working ability to meet deadlines and balance multiple priorities;

  • Managing projects with autonomy and leading teams as large as 10 people;

  • Owning responsibility for multiple deadlines and ensuring that projects are completed on-time; and,

  • Demonstrating proven presentation skills.

At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more:

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:

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.

For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: