Machine Learning, Manager (Financial Services)

Company: PWC
Location: Washington, Washington DC, United States
Type: Full-time
Posted: 07.JUN.2021

Summary

Line of Service: Advisory Specialty/Competency: Data and Analytics Technologies Industry/Sector: FS X-Sector Time Type: Full time Government...

Description

Line of Service: Advisory
Specialty/Competency: Data and Analytics Technologies
Industry/Sector: FS X-Sector
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 80%

A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You'll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.


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.


Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Required Fields of Study:
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

Additional Educational Requirements:

Other quantitative fields of study may be considered

Minimum Years of Experience:
6 year(s)

Preferred Qualifications:

Degree Preferred:
Master of Science

Additional Educational Preferences:

Other quantitative fields of study may be considered

Preferred Knowledge/Skills:

Demonstrates extensive abilities and/or a proven record of success in the following areas:

  • Cloud computing platforms such as AWS, GCP and Azure;
  • Relational databases and writing SQL queries;
  • Big data machine learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cassandra, HBase, MongoDB); and,
  • Experience in building data lakes.

Demonstrates extensive abilities and/or a proven record of success as a team leader including the following areas:

  • Possessing a background in computer science and being comfortable in programming in a variety of languages, including Java, Python, Scala;
  • Determining the appropriate software packages or modules to run, and how easily they can be modified;
  • Handling large scale structured and unstructured data from internal and third party sources;
  • Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;
  • Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,
  • Leading teams in a dynamic work environment while managing stakeholder expectations and scope.


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.

 
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