McKinsey & Company

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You will work with the Geospatial team to create business insights from location-based analytical problems for our clients. As part of your role, you will also support team workflow administration and knowledge coordination. You will work in a fast-paced team environment combining business thinking and spatial intelligence to solve business problems across a variety of industries and geographies.

Your work will be project-oriented, with a mix of client, knowledge, and internal initiatives. You will work closely with geospatial experts to devise and execute spatial analyses using a wide range of spatial toolkits, including open-sourced and licensed GIS software, datasets, and proprietary assets. You will clearly communicate insights to consultants and clients using a variety of forms, including written communication, compelling static and interactive charting, and data visualization. You will perform these roles through a mix of remote and some on-site client work.

Some typical projects include: working on location strategy projects by assessing the footprint of potential acquisitions to analyze areas of overlap and optimize footprints, analyzing where to place EV charging infrastructure to reach the highest number of customers and how a retailer can expand their footprint, identifying driver of performance leveraging machine learning models. Also, working on territory design or health care footprint optimizations by analyzing catchment areas for hospitals to help clients with location planning for new care units and creating optimal territory designs for reps to visit clients. You will also perform client segmentations by creating clusters for B2b or B2C clients to maximize sales, optimize pricing, marketing spent.

In addition to serving clients, you will also contribute to McKinsey’s knowledge base on geospatial topics. We are constantly investing in knowledge development to ensure we bring best in class approaches and resources to our clients. You will spend some portion of your time building our team’s knowledge, for example, in the form of codified expertise, standardized approaches to recurring questions, exploring new sources of data, and building tools.

You will join the Geospatial Analytics team as part of McKinsey’s Global Client Capabilities Network (CCN), which includes more than 4000 diverse professionals delivering distinctive client impact and fueled by a culture of innovation.

The Geospatial Analytics team is part of a broader research team that covers Americas market knowledge – comprised of about 50 researchers across North, Central and South America.

You will work with Geospatial Analytics team members primarily in the Americas but occasionally in Asia, Europe, and Africa as part of client service and knowledge development. You will interact with our global analytics community and partner with integrative consultants, clients, and other colleagues to deliver high-quality analyses and a great client service experience.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

• Bachelor’s or master’s degree in a relevant quantitative field (such as computer science, statistics, economics, mathematics, etc.)
• Strong command of English (both verbal and written)
• Flexibility and willingness to travel to client locations as required
• 1+ years of data science experience, including academic experience and internships is a plus
• Intellectual curiosity, along with excellent problem-solving and quantitative skills
• Knowledge of a variety of machine learning and statistical techniques (such as clustering, decision trees, artificial neural networks, regression, etc.), and their application in the real world
• Programming experience in Python and SQL is a must; some experience with R, Scala is preferable though not essential
• Familiarity with geospatial analysis, spatial statistics, network analysis, and geographic visualization and experience in working with GIS tools (e.g. ArcGIS, QGIS, PostGIS) would be an added advantage
• Familiarity with data visualization tools and platforms (e.g. Tableau, Power BI, R Shiny, Kepler) to visualize data and provide insight
• Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS
• Strong team-orientation and a professional attitude
• Good presentation and communication skills, and the ability to translate complex analytical concepts to business stakeholders

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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.