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Data Scientist – Advanced Insights group

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Core Business Services
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GGN002DY Requisition #

Job Summary:


EY’s global research andknowledge function, EY Knowledge, has embarked on an ambitious “Future ofKnowledge” program to radically transform both the development and thedelivery of the platforms, products and services that bring the best of EY’sthinking to every client and EY team.  The Research & Analysis (R&A) Transformation pillar isaccountable for elevating the commercial and business impact of EY’sresearch, analysis and insights through world-class innovation and execution.

The new Advanced Insightsteam is a key element of that transformation, forming a small research groupto identify and carry-out market leading research in areas of criticalimportance to our clients. The team will develop new big data products andservices and, in partnership with business stakeholders and relevantMarketing/Business Development/Knowledge colleagues, create and publishinsights differentiated through proprietary data and the power of advancedanalytics.

Working closely with theAdvanced Insights Lead, the Junior Data Scientist will be a critical partnerin the execution of all research projects. These contributions will include theidentification, collection, structuring and analysis of data, providingtechnical guidance in support of publications, and working with internalteams to help them leverage our analyses and content. This research anddevelopment role has both basic and applied research components – fromoriginal insight generation to the development of new products and services.

 
Essential functions of the job:

  • Developnew data products. Utilize data science and computer science techniques to buildnew data-backed products that deliver proprietary insights to the business ontopics most important to our clients. This will include:
  • Rapidlytest areas of interest. Help select the next big research project by utilizing lightweightanalyses to stand up “what if” demonstrations of what could be.
  • Collaborateon product development. Work closely with the Advanced Insights lead and incollaboration with other team members to design, execute & implement newdata-backed products
  • Co-developresearch plan. Working closely with the team and other colleagues/stakeholders,provide creative input & technical guidance to help shape the datarequirements and output of potential products.
  • Collectdata. Identify all possible data sources (internal, external,purchasable) and program or leverage existing tools to acquire the data (e.g.scrapers, APIs). Develop required tests to ensure quality.
  • Cleandata. Work with other team members to clean data, as required.
  • Performanalyses. Preliminary, sense and quality checking analyses may beundertaken in business intelligence platforms like Power BI, Tableau, etc.Thereafter, all statistical analyses will be programed in Python. Mostresearch projects will utilize machine learning.
  • Publishdata internally. Help develop and deliver self-serve dashboards of top-line datainsights for teams across EY to contextualize for clients and/or shareexternally.
  • Supportexternal publications. Support the creation of external publications either on EY.comor through select third party channels (e.g. Harvard Business Review,Stanford’s Insights) by providing data visualizations, interpretation of analyses,and technical guidance.
  • Serveand support internal teams. Work directly with EYcolleagues interested in utilizing our research and analyses to createspecific data cuts, adapt analyses or provide technical guidance. In selectcases, will work with colleagues to help embed or hand-over analyses ormethodologies we have developed.
  • Collaboratewith subject matter experts and colleagues. As part of the AdvancedInsights team, engage with expertsin the area we are studying – sector leaders, business management leaders,statisticians, marketing partners, etc. – to iterate assumptions, analyses,and approaches to ensure correctness and market impact.

 
 

Knowledge and Skills Requirements:
  •  Ability to program in Python (100+ hours, in or outside ofclassroom settings required).
  • 500+ total hours of coding experience outside of classroomsettings required, regardless of programming language used (e.g. Java, C, C#,PHP, MATLAB)
  • Demonstrable understanding of statistical theories andapplications required.
  • Ability to execute advanced statistical methodologies required(e.g. supervised vs. unsupervised learning).
  • Ability to perform data exploration exercises and developdata-driven story dashboards on modern BI platforms (e.g. Power BI, Tableau) niceto have, not required.

 

Teaming Responsibilities:

  • No direct management of colleagues, but will work with a multidisciplinaryteam virtually across geographies.
  • Must work with, motivate and help cultivate a high-performanceteaming environment.

 
Other Requirements:


  • Proficiency in English, both written and verbal required.
  • Will require occasional travel, both domestic andinternational.

 

Job Requirements:

 
Education:

  • Bachelor’s degree in STEM areas required.

 
Experience:


  • If Bachelor’s degree only, 2+ years of full-time professionalexperience required.
  • If Master’s or postgraduate degrees, 1+ years of full-timeprofessional experience required.

 
 

 

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