Wednesday 12 October 2022

McKinsey & Company Off Campus Drive 2022 For Freshers As Research Science Analyst | Gurugram

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McKinsey & Company Off Campus Drive Jobs 2022 For Freshers As Research Science Analyst | Gurugram

Company: McKinsey & Company
Job Designation: Research Science Analyst
Job Location: Gurugram
Experience: Freshers
Eligibility: M.E/M.Tech/M.Sc

Event Location: Online

Job Description
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.

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).

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

How To Apply: Mckinsey & Company Off Campus Drive 2022 For Freshers As Research Science Analyst

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