PwC A.I. Data Scientist Director in Chicago, Illinois

PwC/LOS Overview

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PwC Advisory helps our clients with their most challenging imperatives from strategy through execution. We combine the breadth of knowledge of over 48,000 global professionals with deep industry knowledge to deliver custom solutions for our clients. We work with the world's largest and most complex companies and understand the unique business issues and opportunities our clients face.

Job Description

Our Operations consultants help clients realize competitive advantage from operations. This high performing team translates business strategy into effective operations to drive both growth and profitability. Specific areas of focus include product innovation and development, supply chain, procurement and sourcing, manufacturing operations, service operations, and capital asset programs and operations.

Data Scientists at PwC are expected to be multi-lingual in the sense that their technical prowess must be matched by their ability to communicate results to other data scientists, clients, and internal stakeholders. Our team is capability centric, focusing on AI and machine learning techniques that are broadly applicable across all industries. We work with the gamut of data mediums including text, audio, imagery, sensory, and structured data. Our work involves the use of supervised and unsupervised machine learning algorithms, traditional statistical models, deep neural networks, terabyte scale data, and simulation modelling. We are often tasked with working across the entire pipeline: data ingestion, feature engineering, machine learning model development, visualization of results, and packaging solutions into applications/production ready tools. Our mandate is to quickly explore new technologies to determine what is relevant for our clients and Firm to invest in. Our work is having a tremendous impact on how PwC and our clients do business, whether we are streamlining workflows with machine learning models or helping clients make the right strategic investments in AI.

Position/Program Requirements

Minimum Year(s) of Experience: 10

Minimum Degree Required: Bachelor's degree in Engineering, Economics, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines.

Degree Preferred: Master's degree or Doctorate

Knowledge Preferred:

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

  • Statistical or numerical methods application, data mining or data-driven problem solving;

  • Proficiency in the use of statistical modelling, algorithms, data mining and machine learning algorithms;

  • Business development such as client relationship management and leading and contributing to client proposals; and,

  • Delivery within a number of large scale projects, demonstrating ownership of architecture solutions and managing change.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

  • Communicate project findings orally and visually, to both technical and executive audiences;

  • Develop people through effectively supervising, coaching, and mentoring staff;

  • Lead, train, and work with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets; and,

  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.

Skills Preferred:

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating fluency in commonly used data science packages including Spark, Pandas, SciPy, and Numpy;

  • Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing;

  • Developing end to end deep learning solutions for structured and unstructured data problems;

  • Developing and deploying A.I. solutions as part of a larger automation pipeline;

  • Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;

  • Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context;

  • Using Data visualization software such as tableau and qlikview in addition to web visualization libraries; and,

  • Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment.

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.