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 designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders. A Data Scientist collects domain context from stakeholders, defines hypothesis and prediction tasks, identifies and creates supporting data sources, conducts experiments with various algorithms to model prediction tasks, undertakes validation and tests of models to improve performance, produces pipelines that can be used to automate training and predictions with unseen or production data, identifies meaningful insights from data sources, and contextualizes model outputs to communicate with stakeholders (product owners, process managers, and end consumers).
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.
Custom Orgs :
Global LoS :
Internal Firm Services
Global Network :
Internal Firm Services
Global Competency Network :
IFS - Internal Firm Services - Other
Go-To-Market :
Not Applicable
Sector :
Not Applicable
Programme Type :
Experienced Hire
Job Requirements and Preferences :
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 :
5 year(s)
Preferred Qualifications :
Degree Preferred :
Master Degree
Additional Educational Preferences :
Mathematics, Computer and Information Science, Engineering, Data Processing/Analytics/Science
Preferred Knowledge/Skills :
Demonstrates extensive abilities and/or a proven record of success within a professional services environment, in the following areas:
• Programing with any of the following focus: statistical/mathematical languages [e.g., R, SAS, MATLAB], general purpose languages [e.g., Python, Java, Go, Perl], and/or other special purpose languages [e.g., SQL, bash scripting];
• Demonstrating machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, and graph analysis;
• Processing large scale data [e.g., Hadoop environment, Apache Spark, elastic cloud compute];
• Processing data analysis workflows [e.g., git, iPython notebook];
• Visualizing data using tools [e.g., D3.JS, Gephi];
• Interpreting problems, synthesize analysis, and present information in a way that is understandable to a non-technical person;
• Working collaboratively on teams with a variety of technical and non-technical skill sets;
• Compiling and presenting complex information using data visualization tools;
• Collaborating and contributing as a team member: understand personal and team roles, contribute to a positive working environment by building relationships with team members, and proactively seeking guidance, clarification, and feedback;
• Identifying and addressing client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, and communicate potential conflicts to a supervisor;
• Prioritizing and handling multiple tasks, research and analyze pertinent client, industry and technical matters, utilize ability in problem-solving, and communicate effectively in written and verbal formats to various audiences - including various levels of management and external clients;
• Coaching and collaborating with colleagues who assist with this work, including providing coaching, feedback and guidance on work performance;
• Understanding how the application of analytical techniques correlate to business value;
• Selecting the appropriate analytical techniques for the problem at hand;
• Working closely with leaders across product functions to design the analytics roadmap and to support and implement high quality data driven decisions and deliverables;
• Developing and implementing quality controls and standards to ensure data integrity and quality; and,
• Leading and providing oversight to a team of data scientist in their approach to data modeling and analysis techniques.
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 Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisorymanager. 327934 327934WD
#LI-Remote no requirements Employment Type: OTHER