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 to enable holistic well-being for you and your family.
Your Impact
You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
In this role, you will focus on the development of advanced analytics models to optimize underlying business problems.
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.
You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data.
You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions.
You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
You will be based in our Cairo or Riyadh office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
Your Qualifications and Skills
Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
5+ years of professional experience in programming; experience applied to business problems is a plus
Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
Experience in data treatment / data mining : SQL, AWK, Access, Spark, Excel
Demonstrated aptitude for analytics; statistical knowledge is a plus
Proven record of leadership in a work setting and / or through extracurricular activities
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
Candidates should have an undergraduate degree in a relevant field and over 5 years of professional experience in programming, particularly in machine learning.
Strong analytical skills and the ability to communicate complex ideas effectively are essential.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.