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

As a data scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.

Role responsibilities

• Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
• Develop data science products and solutions for clients as well as for our data science team
• Write highly optimized code to advance our internal Data Science Toolbox
• Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
• Focus on modelling by working alongside the Data Engineering team
• Add real-world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wish
• Take part in R&D (video: R&D at QuantumBlack); attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co-workers
• Work in one of the most advanced data science teams globally

What you’ll learn

• How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
• Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
• Best practices in software development and productionize machine learning by working with our Machine Learning Engineering teams which optimize code for model development and scale it
• Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations
• Using new technologies and problem-solving skills in a multicultural and creative environment

You will work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact. Watch our Protocols series video tutorial. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.

• Real-World Impact– No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
• Fusing Tech & Leadership– We work with the latest technologies and methodologies and offer first class learning programs at all levels.
• Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
• Innovative Work Culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
• Striving for Diversity– With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life... check out our Women Transforming Tech highlights reel and our Kedro playlist????

Your colleagues

Work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.

Who you are

You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro (check out a Kedro tutorial video here), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!

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

• Undergraduate degree in math, statistics, physics, computer science or engineering required
• Up to 2 years of professional experience in programming; experience applied to business problems is a plus
• Programming (focus on machine learning): Python (must), R (highly valued), SPSS, SAS, Ruby, Hadoop (valued)
• Data treatment/data mining, e.g. SQL, AWK, Access, Spark, Excel (highly valued)
• Statistical knowledge is a plus
• Demonstrated aptitude for analytics
• Proven record of leadership in a work setting and/or through extracurricular activities
• Ability to work collaboratively in a team environment
• Ability to work effectively with people at all levels in an organization
• Skills to communicate complex ideas effectively
• Ability to communicate complex ideas effectively – both verbally and in writing – in English and Spanish
• Knowledge of other languages, e.g. Portuguese, German, French and/or Italian is a plus

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.