A career in our Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues.

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.

  • PwC is looking for an experienced Pricing Scientist to join our growing Pricing Practice. The ideal candidate will have a very strong background in analytics: statistics, artificial intelligence, machine learning with experience in advanced algorithm development and a solid understanding of large datasets and data management. The candidate should also have experience applying analytics to pricing challenges primary in an B2B sales model. Will also work closely with our Pricing and Analytics Teams to develop offerings which deliver customer value and to help to sell and deliver high impact consulting projects. Will partner with the Pricing Practice to understand customer and industry use cases and lead us in developing both cutting edge offerings and clear visible thought leadership.


  • Employ techniques from machine learning, statistical analysis and predictive modeling to deliver business insights and recommendations to prospects and customers based on data.
  • Lead and Supervise creation and application of Algorithms to identify and quantify pricing opportunities
  • Explore and identify expanded data models for addressing client problems, going beyond customer internal transaction data to include external, unstructured data including forecasts, market information, econometric and social media data and inputs
  • Take on a lead role in handling difficult algorithm issues including price optimization, clustering, and causality/correlation
  • Be the public face of PwC’s algorithmic and mathematical research efforts, meeting with customers and speaking at both client and industry external events
  • Requirements

  • Ideally an advanced degree in Operations Research, Statistics, Machine Learning, Mathematics or Engineering
  • 8+ years of hands on experience in applying advanced algorithms to address real world business problems with a focus on pricing and customer profitability
  • Experience with large-scale data analysis frameworks such as map-reduce (Hadoop ecosystem), NoSQL and in-memory / columnar databases
  • Experience with pricing software applications, e.g., Vendavo, PROS, Zilliant
  • Experience with parallel and distributed approaches to data analytics
  • Experience with data analysis tools such as R, SAS, SPSS, Mathematica
  • Experience with data analytics in the cloud: Azure, AWS, Google.
  • Exceptional team player, leadership, mentoring and coaching skills
  • Excellent communication, coordination and presentation skills.
  • Basic Qualifications :

    Minimum Degree Required :
    Bachelor Degree

    Required Fields of Study :
    Computer and Information Science, Management Information Systems

    Travel Required:

    70% to 80% Weekly Travel.

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