Supervising Associate-EDS-DataScience

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Position Description Summary

Position Details:

Job Title : Supervising Associate - EDS

Job Purpose

• Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects.
  
  

• Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions.
• Capability to clearly understand and articulate a data science problem and lead multiple projects with required support.
• Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus.
• Should have hands-on experience on database using SQL.
• Should have knowledge on Data visualization tool like Power BI.
• Good to have experience in any AutoML tool.
• Good to have experience in GenAI.
• Good to have experience in Azure cloud.
  
  

• Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions.
• Provide product and design level technical best practices
• Interface and communicate with the onsite coordinators
• Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc.
• Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making.
• Completion of assigned tasks on time and regular status reporting to the lead
  
  

• B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience
• Should be at least around 5-6 years of experience in Analytics
• Should have understanding and experience of analytics best practices.
• Excellent business communication, Consulting, Quality process skills
• Must be a team player and team leader
  
  

• Building a quality culture
• Manage the performance management for the direct reportees, as per the organization policies
• Foster teamwork and lead by example
• Training and mentoring of project resources
• Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc.)
• Participating in the organization-wide people initiatives
  
  

• Experience in Insurance/ Banking/ Finance
• Prior Client facing skills
• Prior onsite experience is a plus
• Should have engaged in client interactions, participating in business workshops