Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Manager

Job Description & Summary

A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.

Our team works with well structured data sources to understand the underlying data through exploration, answer specific domain questions or perform analysis related to those questions. They produce dashboards/visualizations and reports to explain and support findings, integrate data from multiple sources to produce requested or required data elements and develop data cleansing routines to standardize “messy” data or to align new data feeds to existing and expected formats and values.

Data Analytics includes filing datasets to understand the data prior to utilizing it in downstream analytics, tools, dashboards and products, having a continuous eye for automating existing reporting and analysis and communicating insights and findings to business stakeholders.

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.

** Basic Qualifications** :

Minimum Degree Required :
Bachelor Degree

Additional Educational Requirements :

Bachelor's degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.

Minimum Years of Experience :
6 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, Statistics, Data Processing/Analytics/Science, Mathematical Statistics

Preferred Knowledge/Skills :

Demonstrates extensive-level knowledge and/or a proven record of success by:

Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets;
Demonstrating proven experience in managing stakeholders (e.g., executive level leadership) relationships related to various projects;
Understanding of ETL tools and techniques, such as tools like Azure Data Factory, Snaplogic Talend, Mapforce, etc. - how to map transformation and flow of data from a source to a target system;
Performing in development language environments--e.g. Python, Java, Scala, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;
Demonstrating proven success in application of statistical modeling, algorithms, data mining and machine learning algorithms problem solving;
Demonstrating a track record of delivery within a number of large scale projects, demonstrating ownership of architecture solutions and managing change;
Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;
Demonstrating proven ability with NLP and text based extraction techniques;
Understanding the development of data science analytic models and how to operationalize models to run in an automated context; and,
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.

Demonstrates extensive-level abilities and/or a proven record of success in the application of statistical or numerical methods, data mining or data- driven problem solving, including the following areas:

Utilizing and applying knowledge commonly used data science packages including Spark, Pandas, SciPy, and Numpy;
Possessing familiarity with deep learning architectures used for text analysis, computer vision and signal processing;
Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;
Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained;
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;
Using common cloud computing platforms including Azure, AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment;
Demonstrating familiarity with Machine Learning cloud services including Azure Cognitive Services; and,
Having expertise in recommender systems.

Travel Requirements

Up to 20%

Job Posting End Date

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: https://pwc.to/ways-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.

For positions in California, Colorado, New York City, Washington State, and Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-productstechmanager

Digital Products- Data Scientist Manager