Data Scientist - Big4

Roles and responsibilities

- Translate business objectives into analytic approaches, and identify data sources to support analysis.

- Analyse and model structured data using advanced statistical methods

- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyse historical data and identify patterns.

- Analyse data using R, open source packages and commercial/enterprise applications.

- Perform machine learning, Text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modelling, time-series analysis, regression, statistical inference, and validation methods.

- Implement algorithms and software needed to perform analyses

- Drive client engagements focused on Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.

- Interface with databases (SQL) to extract, transform and load data

- Communicate results and educate others through reports and presentations.

Essential skills required :

Education / professional qualifications

PG / Graduate in Engineering / Statistics

Prior Experience:2-9 years of relevant experience

Technical skills

- Ability to break down complex problems, and develop strategies to solve them

- Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or related fields, with 5+ years of relevant experience

- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint is a PLUS

- Expertise in at least one of the following fields: machine learning, statistical modeling, data mining, or information retrieval with good experience of the end-to-end analytical process

- Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing

- Good experience in data extraction and processing, using SQL

- Exposure to analytics related to financial services domain is preferred

- Proficiency in analytics tools like R, SAS

Behavioral / team skills

- Should be a Self-starter

- Should have excellent communication skills both written and oral.

- Should be a quick learner

- Should have worked in an Agile methodology is a plus, but not mandatory

- Very good team player