EY EY-Consulting - Data and Analytics – statistical/machine learning analyst in Bangalore, India
EY-Consulting - Data and Analytics – statistical/machine learning analyst
Requisition # BLR00810
Post Date Nov 09, 2020
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
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.
Contributeto a high quality culture
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