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Management consulting-Data Scientist-Senior Associate 2-Shanghai
PwCShanghaiUpdate time: August 26,2019
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Job Description

Line of Service

Advisory

Industry/Sector

Asset and Wealth Management

Specialism

Analytics

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Service Delivery Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

Responsibilities

As a Senior Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist in the management of several clients, while reporting to Managers and above
  • Train and lead staff
  • Establish effective working relationships directly with clients
  • Contribute to the development of your own and team’s technical acumen
  • Keep up to date with local and national business and economic issues
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Continue to develop internal relationships and your PwC brand

Essential Duties and Responsibilities of a Data Scientist
  • Responsible for the architecture design of models / strategies / algorithms for the innovative applications, including but not limited to predictive analysis, natural language processing etc.
  • Identifies unique opportunities to collect new data.
  • Designs new processes and builds large, complex data sets.
  • Strategizes new uses for data and its interaction with data design.
  • Locates new data sources, analyzes statistics and implements quality procedures.
  • Performs data studies of new and diverse data sources.
  • Finds new uses for existing data sources.
  • Conducts statistical modeling and experiment design.
  • Discovers “stories” told by the data and presents them to other scientists and business managers.
  • Tests and validates predictive models.
  • Builds web prototypes and performs data visualization.
  • Conducts scalable data research on and off the cloud.
  • Implements automated processes for efficiently producing scale models.
  • Designs, modifies and builds new data processes.
  • Generates algorithms and creates computer models.
  • Collaborates with database engineers and other scientists.
  • Implements new or enhanced software designed to access and handle data more efficiently.
  • Trains the data management team on new or updated procedures.
  • Stays up to date and educates the team on the cutting edge of analytic applications.
Required Knowledge, Skills and Abilities
  • Possesses a working knowledge of statistics, programming and predictive modeling.
  • Demonstrates excellent code writing abilities.
  • Has strong critical thinking skills and the ability to relate them to the products or services the company is producing.
  • Proficient programming in Python, R, and SQL (Structured Query Language).
  • Hadoop, NoSQL, Java are strong plus.
  • Programming on scalable/Big Data language such as Scala/Spark is a plus.
  • Shows strong knowledge of basic and advanced prediction models.
  • Possesses a combination of creative abilities and business knowledge.
  • Has data mining knowledge that spans a range of disciplines.
  • Displays superior technical coding abilities.
  • Possesses strong exploratory analysis skills.
  • Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
  • Has the ability to think and research creatively.
  • Displays exceptional organizational skills and is detail oriented.
  • Possesses a mastery of statistics, machine learning, algorithms and advanced mathematics.
  • Strong English communication in paper and oral.
  • Shows a high level of skills in acquisition and application of vast knowledge areas over a short period of time and requires a strong sense of personal responsibility.
Education and Experience
  • Master degree or PhD degree on mathematical, computer science or similar field of study, with at least 3-5 years of relevant experience.
  • Previous experience working in data mining or natural language processing.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date

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