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F&A_R&A_EDS_Supervising_Associate

4.00 to 6.00 Years   Bangalore   02 Nov, 2020
Ernst & Young
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects.
Role Requirement
  • 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 technique like-linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering, recommendation engines and forecasting.
  • Ability to work on big data is a plus.
Client Responsibilities:
  • Need to work as a senior team member to contribute in various technical streams of Decision Sciences implementation project.
  • 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 and segmentation of customers
  • 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
Experience and Qualification
  • 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
Your people responsibilities (For People Leading Roles)
  • 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 initiative
Additional Skills requirements
  • 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
,

Keyskills :
big datatime seriesdata sciencemachine learningdecision scienceslogistic regressionperformance managementbusiness communicationoptimization strategiespredictive modelling

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