McKinsey &
Company Jobs for Fresher Post Graduates 2022 | McKinsey & Company Off
Campus Recruitment 2022 | Hiring Fresher Post Graduates as Research Science
Analyst for Gurugram Location
McKinsey &
Company Recruitment 2022 Details :
|
Company
Name |
McKinsey
& Company |
|
Company
Website |
|
|
Job
Role |
Research
Science Analyst |
|
Qualification |
M.E/M.Tech/M.Sc/M.Com |
|
Batch |
Any
Batch |
|
Experience |
Freshers |
|
Salary |
Best
in Industry |
|
Job
Location |
Gurugram |
|
Drive
Location |
Online |
|
Last
Date to Apply |
ASAP |
Research
Science Analyst - Global Payments Map
WHO
YOU'LL WORK WITH
You
will work as a part of an international Global
Payments Map(GPM) solution team (other team members located currently in
Atlanta, Gurugram, Toronto, and Warsaw). You will be based out of Gurugram.
You
will interact on daily basis with other McKinsey colleagues (e.g., team members
and leaders of McKinsey integrative consulting engagements, knowledge
consultants, researchers from geographies covered by GPM solution, colleagues
from other McKinsey solution teams) and clients (served by McKinsey in a
consulting engagement setup or direct subscribers to GPM solution).
Additionally, you will interact frequently with leading McKinsey thinkers on
payments, leaders of McKinsey Payments and Banking Practice, and other
colleagues throughout the firm.
Your
role will be global in nature. These interactions may involve occasional
travel.
WHAT
YOU'LL DO
You
will maintain, develop and deliver to clients the Global Payments Map (GPM) –
one of the key knowledge assets of McKinsey Payments and Banking Practice.
GPM
is a proprietary payments market intelligence solution used at hundreds of
McKinsey engagements each year (in payments, banking, consumer, private equity,
and other industries) as well as by many direct subscribers (incl. fintechs,
technology companies, payments specialists, and banks). It offers detailed
payments market-sizing estimates and forecasts as well as bespoke payments
market research and benchmarking. GPM enables our clients to identify growth
opportunities, supports their strategic planning & budgeting processes, and
allows to measure performance of their payment businesses against market
trajectory.
You
will split your time among - updating and validating Global Payments Map
knowledge assets. Delivering GPM insights to McKinsey clients (e.g., sharing
and explaining GPM market-sizing estimates and forecasts, providing counsel to
integrative consultants on approaches to solve client problems, responding to
questions on payments market trends, joining McKinsey consulting engagements to
deliver project workstreams). Developing new GPM modules to capture emerging
payments market trends and innovations, expand GPM coverage to new geographies,
and improve delivery of GPM insights to McKinsey teams and clients. Supporting
development of McKinsey internal and external publications on payments (e.g.,
our annual Global Payments Report).
QUALIFICATIONS
- Postgraduate degree
in computer science, engineering, applied mathematics, quantitative social
sciences, or related field
- Programming
experience in Python and R
- Hands-on experience
of machine learning algorithms such as random forest, support vector
machines, gradient boosting, Naïve Bayes, etc. and neural net/deep
learning algorithms
- Exposure to ML Ops,
AWS, GCP, GitHub, Docker, Kedro is a plus
- Good to have
experience working in industries like manufacturing, mining, chemicals,
oil & gas, semiconductor, travel & logistics or pharmaceuticals
- Experience in
applying advanced analytical and statistical methods in the commercial
world
- Good presentation
and communication skills, with the ability to explain complex analytical
concepts to people from other fields
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