Bridge i2i : Data Scientist

Brief Description of position:

Bridgei2i Analytics Solution is looking for talented individuals who are interested to be part of "Our" journey to build a best-in-class organization, driving increased adoption of business analytics across the globe.

The person holding this position is responsible for creating and implementing advanced analytical approaches across a variety of projects, industries and solutions. Successful candidates are expected to have a mix of analytical & functional skills – someone who can work with business requirements and develop them into a useable and scalable solution; someone who fully understands the value proposition of data mining and analytical methods, and who has the creativity to develop unique analytical approaches to problems when required.


Role and Responsibilities

  • Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context
    • Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis
    • Analyse big data using statistics, econometrics, mathematics, operations research, and text mining techniques
    • Develop good visualization to communicate business insights from analysis and make actionable recommendations
    • Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment
    • Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science
    • Present/Advise/Interpret/Justify on analytics solutions from a project to Client/Internal Stakeholder
    • Accountability & Responsibility for specific roles played in a project
    • Support technical coaching of analysts.



  • 5-9 years of work in statistical modelling and business analysis role
    • Bachelors/Masters in Economics, Engineering, Mathematics, IT, Statistics and MBA/PGDBM



  • Individuals with specialised industry expertise in at least one of the areas which includes Technology, Financial Services, Insurance, Retail, Consumer Packaged Goods.
  • Should have extensive experience in designing and implementing solutions using advanced ML/statistical/predictive modelling techniques and tools such as Python, Pyspark and SQL. Experience in the advanced AI/ML(NLP and CV) techniques is a big plus.
  • Time series forecasting methods
  • Aware of various statistical analysis methods such as Regression, Logistic regression, decision trees, other segmentation methods and technical expertise in one of these techniques
  • Hands on experience in statistical modelling software such as SAS or R
  • Strong Microsoft Excel, Access and PowerPoint skills (VBA & SQL experience preferred) Years
Minimum Work Experience:
5 years
Maximum Work Experience:
9 years
Minimum Qualification:
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
Python, Statistics & EDA.


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