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EY EY-Consulting - Data and Analytics – statistical/machine learning analyst in Bangalore, India

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

Consulting

Requisition # BLR00810

Post Date Nov 09, 2020

Jobpurpose:

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

Yourclient responsibilities:

  • Manage client’s expectations and workwith team in developing the analytical solution.

  • Hands on involvement in extracting,collating, performing data integrity checks, manipulating and analyzingdata

  • Hands on involvement in suggesting andbuilding an appropriate statistical model relevant to the Lifescience,Health, Power & Utility, Retail & CPG, Financial or Insuranceindustry vertical

  • Documenting and presenting work to theclient.

Yourpeople responsibilities

  • Contributeto a high quality culture

  • Fosterteamwork

  • Participatingin 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
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