WHO YOU'LL WORK WITH
You will be based in our Santiago de Chile office as part of our South American office. You will be on a 2 months full-time project as part of our Summer Data Scientist Program.
You will join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity and digital transformation. You will work side-by-side with QuantumBlack data scientists, McKinsey Digital Labs architects and data engineers to solve our client’s complex problems. You will work on projects across all industries and will be fully integrated with the rest of our global firm. You’ll work with consultants to help our clients launch agile marketing and personalization programs at scale, enabled by data and technology. You’ll have the opportunity to plug into exciting large scale marketing and digital transformations.
Our office culture is casual and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally.
In this role, you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will develop data science products and solutions by writing highly optimized code to advance our internal data science toolbox for clients as well as for our data science team.
You will also work with specialists in machine learning, engineering and design and add real-world impact to your academic expertise. You will write ‘black’ papers and present at meetings and conferences should you wish.
Please submit your CV in English.
QUALIFICATIONS
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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. 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.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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McKinsey & Company is a management consulting firm, founded in 1926 by University of Chicago professor James O. McKinsey, that advises on strategic management to corporations, governments, and other organizations. McKinsey is the oldest and largest of the Big Three management consultancies (MBB), the world's three largest strategy consulting firms by revenue. It has consistently been recognized by Vault as the most prestigious consulting firm.
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Denver, CO, USA
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Atlanta, GA, USA
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Dallas, TX, USA
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Denver, CO, USA
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Houston, TX, USA
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Washington D.C., DC, USA
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Amsterdam, Netherlands
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Madrid, Spain
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0-2 year
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0-2 year
Calgary, AB, Canada; Montreal, QC, Canada; Toronto, ON, Canada; Vancouver, BC, Canada
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Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Charlotte, NC, USA; Chicago, IL, USA; Cleveland, OH, USA; Columbus, OH, USA; Dallas, TX, USA; Denver, CO, USA; Detroit, MI, USA; Houston, TX, USA; Los Angeles, CA, USA; Miami, FL, USA; Minneapolis, MN, USA; New York, NY, USA; Philadelphia, PA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Seattle, WA, USA; Silicon Valley, CA, USA; St. Louis, MO, USA; Stamford, CT, USA; Washington D.C., DC, USA
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Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Charlotte, NC, USA; Chicago, IL, USA; Cleveland, OH, USA; Dallas, TX, USA; Detroit, MI, USA; Houston, TX, USA; Los Angeles, CA, USA; Miami, FL, USA; Minneapolis, MN, USA; New York, NY, USA; Philadelphia, PA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Seattle, WA, USA; Silicon Valley, CA, USA; St. Louis, MO, USA; Stamford, CT, USA; Washington D.C., DC, USA
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Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Charlotte, NC, USA; Chicago, IL, USA; Cleveland, OH, USA; Dallas, TX, USA; Detroit, MI, USA; Houston, TX, USA; Los Angeles, CA, USA; Miami, FL, USA; Minneapolis, MN, USA; New Jersey, USA; New York, NY, USA; Philadelphia, PA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Seattle, WA, USA; Silicon Valley, CA, USA; St. Louis, MO, USA; Stamford, CT, USA; Waltham, MA, USA; Washington D.C., DC, USA
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Atlanta, GA, USA; Austin, TX, USA; Boston, MA, USA; Charlotte, NC, USA; Chicago, IL, USA; Cleveland, OH, USA; Dallas, TX, USA; Denver, CO, USA; Detroit, MI, USA; Houston, TX, USA; Los Angeles, CA, USA; Minneapolis, MN, USA; New Jersey, USA; New York, NY, USA; Philadelphia, PA, USA; Pittsburgh, PA, USA; San Francisco, CA, USA; Seattle, WA, USA; Silicon Valley, CA, USA; St. Louis, MO, USA; Stamford, CT, USA; Waltham, MA, USA; Washington D.C., DC, USA
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