Category: Mckinsey data science intern reddit

Mckinsey data science intern reddit

This summer in New York City has been a humbling, challenging and a life enriching experience. In retrospect, many things that once looked so daunting and mysterious now seem clearer and more manageable.

I think it would be great to write down some of my thoughts and lessons learned here. Like most of us, I attended career fairs, networking events and coaching seminars held by career services. One key takeaway is that you should prepare for interviews even before you eventually get one. And before I knew it, the interview invitations started flooding in and I remember I had about nine interviews in two consecutive weeks, including interviews with McKinsey that finally got me there.

Welcome to your McKinsey Career

I cannot imagine myself capable of handling all those interviews in such short period of time had I not been consistently practicing.

This means sharpening your tools — learning the materials you are going to use in interviews and down the road in your future job. From January to March, I made it routine for me to study data science and prepare for both technical and behavioral interview questions. The value of research: Understanding the industry you hope to get into is another important task but somehow it is always overlooked.

It is not something you can learn intuitively and it requires a lot of proactivity. I studied the company profiles and job descriptions on websites like Glassdoor and Quora.

There are also numerous experienced people you can find on LinkedIn, who are working in the roles you are seeking.

mckinsey data science intern reddit

I was lucky enough to find two of them who were willing to talk to me. Interviewing preparation: As for the interview experience, I found it more of a natural representation of your personality and knowledge rather than a rehearsed performance.

This, of course, is given that the position you interview for is a right match and you know how to master your nerves and tame the butterflies. As for the latter, I learned that there is no magic trick for coming off as confident. It is just practice after practice after practice. Mock interviews definitely help. Talk to your interviewers and ask what they think of your performance.Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

Our flagship business publication has been defining and informing the senior-management agenda since You will support our consultants and clients in a variety of industries by creating complex mathematical and economic models. Your work will be project-oriented, and you will often be responsible for the entire analytical process from task definition to interpretation of results and delivery to the client.

In collaboration with our consultants and clients, you will discuss your results constructively, in continuous search of the best possible solution. You will work in both the Moscow office as well as on-site with clients.

Your work will be multifaceted and exciting, and you will gain insights into many industries and topics. In project work and in exchanges with colleagues, you will deal with new intellectual challenges daily as well as build your industry and methodology knowledge on an ongoing basis.

A clearly defined career path will help you to continuously develop your skills. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

McKinsey uses cookies to improve site functionality, provide you with a better browsing experience, and to enable our partners to advertise to you. Detailed information on the use of cookies on this Site, and how you can decline them, is provided in our cookie policy. By using this Site or clicking on "OK", you consent to the use of cookies. My Dashboard. Our Insights Webinar. Featured Transformation Improving your odds of success for large scale change programs Digital Helping you embed technology where it unlocks the most value for your organization Accelerate Enabling your people to accelerate and sustain the change.

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McKinsey Global Institute Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy. McKinsey Quarterly Our flagship business publication has been defining and informing the senior-management agenda since Featured Change that Matters Learn what it means for you, and meet the people who create it. Press enter to select and open the results on a new page.Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

Our flagship business publication has been defining and informing the senior-management agenda since McKinsey uses cookies to improve site functionality, provide you with a better browsing experience, and to enable our partners to advertise to you. Detailed information on the use of cookies on this Site, and how you can decline them, is provided in our cookie policy. By using this Site or clicking on "OK", you consent to the use of cookies.

My Dashboard. Our Insights Webinar. Featured Transformation Improving your odds of success for large scale change programs Digital Helping you embed technology where it unlocks the most value for your organization Accelerate Enabling your people to accelerate and sustain the change. Featured Coronavirus: Leading through the crisis Insights on how organizations can respond, and what happens next. McKinsey Global Institute Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

McKinsey Quarterly Our flagship business publication has been defining and informing the senior-management agenda since Featured Change that Matters Learn what it means for you, and meet the people who create it.

Press enter to select and open the results on a new page.Data science is quickly becoming a vital skill as more companies scramble to capitalize on the hordes of data they can collect on clients and customers. Naturally, as the demand for data scientists grows, more students want to break into the field, which means they'll be looking for internships. In fact, a recent McKinsey report study on big data found that, demand for deep analytical talent in the United States could be 50 to 60 percent greater than its projected supply by But how can you best use these entry-level data science grads so that they not only gain valuable experience, but also help improve your business?

Here are five tips to get the most out of data science interns, and to make sure they walk away with a great learning experience in the process.

Students can bring a fresh perspective to the workplace, especially because they are generally in -- or just out of -- school. Therefore, you can expect interns to be well-versed in the latest technology and resources in the field.

Look at what they are studying to figure out how to use them best, because not every data science intern has a background in IT or computer science.

mckinsey data science intern reddit

In fact, data science spans across nearly every discipline in different ways, and that can benefit your company. This means they can immediately become productive on pure data science tasks, but they will also bring ideas from their respective fields that might be relevant to data science but have not appeared there yet.

Looking for these kinds of backgrounds from the start sets everyone up for success," says Ankur Goyal, vice president of Engineering at MemSQL. If you've ever had a bad internship, you know how discouraging it can be to get stuck sorting mail or doing grunt work that your superiors don't want to do themselves. Interns aren't there to get your coffee and drop packages off at UPS, they're there to learn and gain valuable experience. Besides, using interns for busy work is just as detrimental to your department as it is to the intern's experience.

Putting an intern to work -- real work -- can benefit you just as much as it can benefit them. So don't shy away from giving data science interns complex problems to work out, you never know, they might see something you don't, Goyal says. Interns have bright ideas, but don't always have in-depth business backgrounds.

If you plan to bring on interns, make sure your team has an organized plan by assigning someone with strong leadership skills and extensive experience to head up the intern program.

Pairing more experienced data scientists -- the "people who know how to ask the right questions, and how to answer them," as Goyal puts it -- with interns can create the right balance of experience and inexperience. The right mix of these people can result in key data science breakthroughs," Goyal says. Interns can bring a unique perspective and new ideas to your team, which can offer valuable insights you might not get from workers who are busy with their day to day tasks.Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

Our flagship business publication has been defining and informing the senior-management agenda since By joining McKinsey, you'll work with interesting colleagues, be part of a fast-growing firm, participate in meaningful work, and strengthen the skills you need to launch your career at McKinsey and beyond. Our people do share some common qualities including excellent academic performance, leadership abilities, and experience working on or off campus.

We look for strong problem solvers with potential—we will teach you the rest.

Why join QuantumBlack?

Undergraduates typically join as business analysts or fellows as an integral part of our client service teams. Some stay for two or three years before attending a graduate school or leaving for further work experience; some stay on and move directly into a postgraduate school role.

Our roles include generalist consulting, practice consulting - focused on a specific function or industry e. You will likely have the opportunity to travel and will definitely work with talented people from different cultures and backgrounds. Programs run the gamut from our proprietary e-learning to office or practice-based sessions to our formal global training curriculum.

Coaching and mentorship is an integral part of your development at McKinsey; peers will give you feedback and partners will help you grow and plan the next several years of your career.

mckinsey data science intern reddit

Whether you decide to stay with McKinsey for two years or 20 years, a role at McKinsey is a springboard for your career. You will strengthen your skills—and find new ones. You will develop exceptional problem-solving, communication, and analytical skills. You will use your interests and skills to have real influence—typically quite early in your career—and to solve the problems no one else can solve.

Data Scientist

McKinsey is a top destination for people with master's degrees in business administration. Your MBA program prepares you as a problem solver—developing hypotheses, collecting and analyzing data, drawing conclusions, and making recommendations.

Your business knowledge can be invaluable in solving client problems. Programs run the gamut from our proprietary e-learning to office—or practice-based sessions to our formal global training curriculum. There is not one path at McKinsey but many and your career path at McKinsey depends on your interests and goals. You may decide to specialize to build on the expertise you developed in graduate school or in your past career, or you may apply your skills in new areas and broaden your exposure.

Whatever path you create for yourself, you'll continually be challenged to grow. Many people grow their entire career at McKinsey and some stay for a while and move on. McKinsey alumni have gone on to create companies, start not-for-profits, run large businesses, and pursue their passions in the arts, among many other endeavors. The common thread is that they have McKinsey as their springboard and as their constant network.

McKinsey was one of the first consulting firms to recognize the contributions of those without traditional business training, and actively recruit candidates with advanced professional degrees APD. Working toward your advanced degree means you already have many of the skills you need to succeed here: problem-solving, intellectual curiosity, industry knowledge and technical expertise.

Others use McKinsey to explore new areas and grow both personally and professionally. APD candidates typically join us as associates or junior associate consultants positions vary based on office and experienceor in more specialized positions in analytics, digital, or other technology sectors. For specialized roles, your tenure will vary by position.

APD candidates may also consider applying for an associate or business analyst internship position depending on their degree or work experience, usually for the summer prior to the penultimate year of their degree.

Medical students, interns, and residents may apply up to two years in advance of completing their degree. Most APDs apply for full-time positions during the summer or fall prior to the penultimate year of their degree to take part in interviews in the late summer or early fall.Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

Our flagship business publication has been defining and informing the senior-management agenda since You will support our consultants and clients in a variety of industries by creating complex mathematical and economic models. Your work will be project-oriented, and you will often be responsible for the entire analytical process from task definition to interpretation of results and delivery to the client. In collaboration with our consultants and clients, you will discuss your results constructively, in continuous search of the best possible solution.

You will work in both the Moscow office as well as on-site with clients. Your work will be multifaceted and exciting, and you will gain insights into many industries and topics. In project work and in exchanges with colleagues, you will deal with new intellectual challenges daily as well as build your industry and methodology knowledge on an ongoing basis.

A clearly defined career path will help you to continuously develop your skills. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Intern - Data Science

McKinsey uses cookies to improve site functionality, provide you with a better browsing experience, and to enable our partners to advertise to you. Detailed information on the use of cookies on this Site, and how you can decline them, is provided in our cookie policy. By using this Site or clicking on "OK", you consent to the use of cookies. My Dashboard. Our Insights Webinar. Featured Transformation Improving your odds of success for large scale change programs Digital Helping you embed technology where it unlocks the most value for your organization Accelerate Enabling your people to accelerate and sustain the change.

Featured Coronavirus: Leading through the crisis Insights on how organizations can respond, and what happens next. McKinsey Global Institute Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy. McKinsey Quarterly Our flagship business publication has been defining and informing the senior-management agenda since Featured Change that Matters Learn what it means for you, and meet the people who create it. Press enter to select and open the results on a new page.

Analytics Intern - Data Science Moscow. Apply Now. What You'll Do You will support our consultants and clients in a variety of industries by creating complex mathematical and economic models.

Industries Financial Services Retail Telecommunications. Functions Technology. FOR U.Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy.

Our flagship business publication has been defining and informing the senior-management agenda since You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics, or applied mathematics. In addition, you bring:. McKinsey uses cookies to improve site functionality, provide you with a better browsing experience, and to enable our partners to advertise to you.

Detailed information on the use of cookies on this Site, and how you can decline them, is provided in our cookie policy. By using this Site or clicking on "OK", you consent to the use of cookies. Our Insights Webinar. Featured Transformation Improving your odds of success for large scale change programs Digital Helping you embed technology where it unlocks the most value for your organization Accelerate Enabling your people to accelerate and sustain the change.

Featured Coronavirus: Leading through the crisis Insights on how organizations can respond, and what happens next. McKinsey Global Institute Our mission is to help leaders in multiple sectors develop a deeper understanding of the global economy. McKinsey Quarterly Our flagship business publication has been defining and informing the senior-management agenda since Featured Change that Matters Learn what it means for you, and meet the people who create it.

Press enter to select and open the results on a new page.

Put your knowledge to work

Email Subscriptions Sign In. In this role, you will apply state-of-the-art advanced analytics, quantitative tools, and modeling techniques to interpret, make inferences, and offer recommendations based on insights from the data. In addition, you bring: familiarity with statistical and data-mining techniques strong knowledge of programming languages, with a focus on machine learning and advanced analytics such as R, Python, and Scala experience working with large data sets and relational databases a collaborative spirit and the ability to communicate complex ideas effectively to both colleagues and clients excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly.

Search all Data Scientist jobs. I get to work on tough challenges, using complex techniques. I love it. See all profiles. Explore Data Scientist jobs Search jobs. Already started an application?

Sign in here. Prepare for your interview Learn more. Every day we help our clients solve their toughest problems, build capabilities, and create better outcomes. Learn more on our Global Careers site.

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