PwC

Data Scientist, Sr. Manager - PwC Intelligence

Remote San Francisco, CA
USD 89k - 315k
Machine Learning Python Pandas API SQL
Description

Industry/Sector

Not Applicable

Specialism

IFS - Clients & Markets

Management Level

Senior Manager

Job Description & Summary

A career in National Special Functions, within Business Services, will provide you with the opportunity to support service, sector, and market leaders to deliver the unique PwC client experience to our clients. You'll play an important part in continuously innovating and improving Firm operations so that we can continue to provide the highest quality of services to our current and prospective clients.

Our PwC Intelligence team is responsible for serving as a strategic business partner for an assigned customer to identify and pursue new opportunities, conduct market analysis, and prepare revenue projections. You'll also develop new service offerings and solutions, enhance existing delivery capabilities, and support the delivery of solutions on engagements.

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 Senior 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:

  • Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
  • Deal effectively with ambiguous and unstructured problems and situations.
  • Initiate open and candid coaching conversations at all levels.
  • Move easily between big picture thinking and managing relevant detail.
  • Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
  • Contribute technical knowledge in area of specialism.
  • Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
  • Navigate the complexities of cross-border and/or diverse teams and engagements.
  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor's Degree

Minimum Year(s) of Experience:
6 year(s)

Preferred Qualifications:

Degree Preferred:
Master's Degree

Preferred Fields of Study:
Computer and Information Science,Mathematics,Engineering,Economics,Statistics

Preferred Knowledge/Skills:

Demonstrates intimate abilities and/or a proven record of success as a team leader:
- Owning thorough statistical knowledge with preference given to experience with time-series forecasting and machine learning; 
- Having a thorough knowledge of software engineering industry-leading practices, including version control, Github, testing, and validation;
- Performing complex data analysis using tools such as Python (pandas, Anaconda python distribution);
- Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources;
- Displaying experience with SQL Server, as well as data transformation tools such as SSIS, Informatica, and DBT;
- Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics;
- Being responsible for the creation and maintenance of data science pipelines with a focus on time series forecasting and model evaluation;
- Conducting quantitative and qualitative analyses of large and complex datasets;
- Building and managing ETL processes to transform data and schedule jobs;
- Working on multiple projects simultaneously;
- Revealing a conviction to high standards for data quality with a client-service focus;
- Taking ownership of developing relationships across the organization and serving as a data subject matter specialist (SMS);
- Laboring independently and with a team and able to efficiently communicate in written and verbal formats to both technical and non-technical audiences;
- Establishing relationships and work well across functions;
- Building, maintaining, and troubleshooting development and production environments;
- Cooperating with other areas of the firm to source data as needed;
- Possessing facilitation skills and the ability to coach/teach others;
- Demonstrating written and verbal communication skills, including problem/conflict resolution skills; and,
- Having direct engagement with functional leaders/staff and LOS leaders/staff.

Travel Requirements

Up to 20%

Job Posting End Date

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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $89,000 - $315,000, plus individuals may be eligible for an annual discretionary bonus. 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
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