The need for Data Scientists are growing rapidly and companies continue to look into Bangalore for the growing talents. The report shares insights on training, analysis on talent availability in India, top companies and their compensation, top colleges hired from and more to help companies understand the talent pool landscape

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Talent Pool Landscape
Analysis – Data Scientist
2018

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Disclaimer
The data is gathered through industry experts , domain experts and publicly available resources believed to be reliable. Information in this report is for
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Talent Pool
Analysis
Compensation
Benchmarking
Talent
Inflow/Outflow
Hiring
Strategies
Competitive
Intelligence
Location
Assessment
Attrition
Forecasting
Executive
Mapping
Visualization
Services
Executed 50+ Engagements.
Delivered 400+ Talent Pool & Location Assessment reports.
2 Million validated affiliates across domains.
Clients spread across India, North America, UK, Singapore.
Delivered 80+ benchmarking reports.
13Yrs.
Of Research & Recruitment
Experience
Research Offerings

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Traditional Method Vs. Research based Recruitment.
Receive the Job
description
Sourcing the
candidates as per
the requirements
Send shortlisted
resumes to client
post preliminary
screening
Suitable
candidate found?
Continue to head
hunt
No
Traditional Method of Recruitment
Receive the Job
description
Identifying the
Target Market
based on the
Research
Sharing the Data
with the hiring
Teams
Research based Recruitment
Access the
Research Report
and gain the
Intelligence
Creating the
Talent Pipeline for
the skills

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Research Methodology
Market Intelligence
Final Report
Delivery
Final report presentation to stakeholder,
feedback and incorporationbased on
discussions with business and HR stakeholders
Primary
Research
Secondary Research
Interview professionals working in particular skill
ecosystem and industry experts
Job Boards (Demand& Supply), LinkedIn & other social media, Nasscom, Factiva, IDC reports
and proprietarydatabases
Scope
Understanding
Client wants to benchmark its
capabilities in Data Scientist
against its competitors based on
talent pool.
Timeline (No. of Days)
22 6
 Locations (Tier I, II)
 Major companies in the ecosystem
 Experience Level fitting Client’s requirement
 Gender diversity
 Market leaders and their break-up by locations
 Weightage average of compensation by experience levels
Overall Talent Pool – Split by:
Research Methodology

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Scope
Parameters considered
 Talent Supply – As part of this parameter we will study the current talent supply of skill set by City. This will be the number of
professionals in the market with the skillset Data Scientist (SAS, R, Predictive modelling, regression, forecasting, Machine learning,
Python, big data, Scala, Hadoop, Spark, Data visualization)
 Cities Considered : Pan India (Key cities: Bangalore, NCR, Mumbai, Chennai, Hyderabad, Pune & Kolkata) and other tier 2 and tier
3 cities.
 Research report will cover list of key companies that having the total number of talent availability for the skill set mentioned,
experience breakup, compensation structure, gender ratio, hiring scale, active / passive comparisons, company wise talent
availability etc.
 Job demand – Companies hiring for SFDC.
 Experience considered: 2 – 12 years.

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Analysis on the Skillset – Data Scientist.
Installed Talent Pool: 1955*
Active Vs Passive
53%
47%
Active Passive
110 106
94
75 72
53 48 47 43 40
Infosys TCS Mu Sigma Accenture Cognizant Capgemini Fractal
Analytics
IBM Wipro HCL
Top Companies
Location wise talent pool Gender
78%
22%
Male Female
Notice Period
16%
48%
36%
1 Month
2 months
2+ months
Hiring Scale
Easy
Difficult
Indicates the level of
Challenge to hire for the
skillset
713
327 321
201 169 152
38 34
Bangalore NCR Hyderabad Pune Mumbai Chennai Kolkata Others

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Other List of Companies.
Deloitte 24
L&T 24
INSOFE 21
EXL 21
Axtria 11
Mindtree 14
American Express 13
ZS Associates 13
EY 13
DXC 12
Dunnhumby 11
United Health Group 11
mobicloud 10
SAP Labs 10
HSBC 9
NTT DATA 9
Amazon 8
Dell EMC 8
Genpact 8
One97 (Paytm) 8
Cyient 7
Honeywell 7
Karvy Analytics 7
Nielsen 7
PWC 7
Quantiphi 7
Target 7
Verizon 7
Virtusa 7
Cerner Corporation 6
Harman 6
Hewlett Packard 6
Mphasis 6
Ola Cabs 6
Oracle 6
Bajaj Finserv 5
Bny Mellon 5
Cisco 5
Ericsson 5
Flipkart 5
Franklin Templeton 5
Global Logic 5
HDFC Bank 5
Hexaware 5
Impact Analytics 5
iNautix Technologies 5
Innovaccer 5
KPMG 5
Latent View Analytics 5
Quadratic Insights 5
Tredence 5
Walmart 5
ATOS 4
Brillio Technologies 4
Citi 4
Constalytics Mohali 4
CRISIL 4
Cybage Software 4
Datametica solutions 4
eClerx 4
Exponentia Data Labs 4
Fidelity 4
GTL 4
Hitachi Consulting 4
ZS Associates 4

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Job Titles Across Top Companies.
0-2 Years Experience 2-5 Years Experience 5-10 Years Experience 10+ Years Experience
Infosys
Data Scientist, System Engineer, Data
Analyst.
Data Scientist, Sr. System Engineer
Data Scientist, Technology Architect,
Technology Lead
Technical Manager, Technical
Architect,
TCS
System Engineer, ML Developer, Data
Scientist, Analyst
Data Scientist, Sr. Data Analyst, Sr.
System Engineer
Data Scientist, Assistant Manager, Lead
Data Scientist,
Manager, Delivery Lead, Data
Architect.
Mu Sigma Trainee Decision Scientist,
Decision Scientist, Apprentice
Leader
Apprentice Leader/Senior manager Manager
Accenture Analytics Analyst, Software Engineer
Data Scientist, Sr. Analyst, Sr.
Software Engineer
Team Leader, Data Scientist, Associate
Manager, Data Architect
Analytics Advisory Manager, Principal
Data Scientist, Technical Architect.
Cognizant Associate, Big Data Engineer Data Scientist, Programmer Analyst.
Technology Leader, Analytics Manager,
Sr. Data Scientist
Solution Architect, Sr. Manager,
Associate Director.
Capgemini
Data Scientist, Analyst, Associate
Consultant
Data Scientist, Data Analyst,
Consultant
Data Scientist, Sr. Consultant
Technical Architect, Manager, Sr. Data
Scientist.
Fractal Analytics Consultant, Data Scientist Sr. Data Scientist, Sr. Data Engineer
Sr. Consultant, Sr. Manager, Lead Data
Analyst.
Director/Principal Consultant, Project
Manager.
IBM
Associate System Engineer, Data
Scientist
Data Scientist, Data Specialist, Sr. Data Scientist, Project leader.
Project Manager, Group Manager, Sr.
Manager.
Wipro Project Engineer, Associate Data Scientist, Sr. Project Engineer Sr. Software Engineer, Technical Lead
Principal Consultant, Architect,
Manager.
HCL
Software Engineer,
Jr. Data Analyst
Data Scientist, Sr. Software engineer Technical Lead, Data Scientist lead.
Technical Lead, Engagement Manager,
Architect.
Digging into the most common job titles across experience levels, we found that Data Scientist are titles used variously by
different companies.

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Top Colleges Hired From.
NIT National Institute of Technology
IIT Indian Institute of Technology
BITS Birla Institute of Technology and Science
IISC Indian Institute of science
JNTU Jawaharlal Nehru Technological University

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Insights on Training.
Mu Sigma
 Mu Sigma University is the training and development team in Mu Sigma. Every one has to go through a 6 month training
program.
 Initially 1st month training is provided on R, SAS, Python, SQL, EXCEL and also courses on statistics.
 Most of the learning happens through classroom discussions (termed as muNexus).
 Courses are taught by actual Mu Sigma practitioners, and participate in hands-on, experiential projects under their
mentorship.
Fractal Analytics
 Hired candidates are trained by internal employees for the period of 6 months on R, SAS, SQL, Python.
 External Training vendors are not encouraged, reason being the confidentiality of the work that is being done.

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Top Ten Companies Pay Structure by Experience.
1 – 3 Yrs. 3 – 5 Yrs. 5 – 8 Yrs. 8 – 10 Yrs. 10 – 15 Yrs.
Infosys 6.5-12.5 12.5-18.5 18.5-22.0 22.0-28.5 28.5-35.5
TCS 6.0-10.5 10.5-16.5 16.5-20.5 20.5-26.5 26.5-32.0
Mu Sigma 7.0-11.5 11.5-18.0 18.0-25.5 25.5-31.5 31.5-39.5
Accenture 6.0-12.5 12.5-17.0 17.5-23.5 23.5-27.5 27.5-32.5
Cognizant 6.0-12.0 12.0-17.5 17.5-24.0 24.0-30.5 30.5-34.0
Capgemini 7.5-11.0 11.0-16.5 16.5-22.5 22.5-31.0 31.0-38.5
Fractal Analytics 7.5-12.5 12.5-19.5 19.5-25.5 25.5-34.0 34.0-41.0
IBM 6.5-10.0 10.0-16.5 16.5-21.0 21.0-25.5 25.5-31.0
Wipro 7.0-11.0 11.0-17.5 17.5-26.5 26.5-29.0 29.0-34.5
HCL 6.0-10.5 10.5-15.5 15.5-19.5 19.5-26.0 26.0-30.5

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Insights.
 Majority of the quality profiles are contributed by Bangalore location followed by NCR locations.
 Candidates are expecting a minimum hike of 40 – 50% due to increase in demand for the data scientist candidates.
 Compensation paid by the competitive companies are higher compared to the salaries currently offered.
 Candidates showed higher level of interest on the companies working on R, SAS & Python, reason being the higher demand for
the skillset.
 Few of the competitive companies are providing higher designation for same level of experience range.

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