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EY-Consulting - Data and Analytics statistical/machine learning analyst

1.00 to 5.00 Years   Bangalore   16 Nov, 2020
Ernst & Young
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Job purpose: A very strong statistical/machine learning analyst with expertise in analysing & cleansing data along with building statistical/machine learning models from scratch and expertise in SAS/SPSS/R/PythonYour client responsibilities:

  • Manage client s expectations and work with team in developing the analytical solution.
  • Hands on involvement in extracting, collating, performing data integrity checks, manipulating and analyzing data
  • Hands on involvement in suggesting and building an appropriate statistical model relevant to the Lifescience, Health, Power & Utility, Retail & CPG, Financial or Insurance industry vertical
  • Documenting and presenting work to the client.
Your people responsibilities
  • Contribute to a high quality culture
  • Foster teamwork
  • Participating in the organization-wide people initiatives
Technical skills requirements
  • The candidate should have a Bachelors degree in either Economics (econometrics) or Statistics or Engineering or Phd in Maths (with Strong quanititative background) or MBA (with strong quantitative background).
  • A desirable candidate should have 1-5 years of relevant experience in the field of analytics.
  • A very strong statistical/machine learning analyst with expertise in analysing & cleansing data along with building statistical/machine learning models from scratch and expertise in SAS/SPSS/R/Python.
  • Should have understanding of databases and should be able to perform SQL queries while applying appropriate sampling criteria for data extraction purpose
  • Should have understanding and experience of analytics best practices.
  • Excellent business communication, Consulting, Quality process skills.
  • Excellent Consulting Skills.
  • Must be a team player.
Specific Role requirements
  • Should have hands-on experience on supervised and un-supervised machine learning techniques.
  • Should have hands-on experience in statistical modelling and testing area
  • Advanced level programming ability using SAS, R, or Python.
  • Knowledge on SPSS would be added secondary skill.
  • Should have hands-on experience in handling large datasets and should be familiar with models using linear regression, logistic regression, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering and simulation based analysis.
  • The candidate must have excellent inter-personal skills, presentation & documentation skills, flexibility & adaptability and ability to work in a team environment.
  • A team player and demonstrated ability / experience in client relationship management for at least two years are required.
  • Prior experience in implementing NLP and Text Mining an added advantage.
Additional skills requirements
  • Excellent written and verbal communication skills
,

Keyskills :
sql queriestext miningintegritydata extractionmachine learninglinear regressionclient relationshiplogistic regressionstatistical modelingsassql

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