Solutions Analyst – MaintenanceAI

Who You'll Work With

You will be based in our Saudi Client Capabilities Hub in Riyadh as a member
of our global MaintenanceAI team, which is part of Power Solutions.
MaintenanceAI is focused on the heavy industry sectors with a track record of
successfully delivering technology enabled consulting services, working with
tech partners and solutions to our clients. MaintenanceAI combines the most
advanced digital tools along the entire energy value chain - from Lean
maintenance, Digital Workflow Management and Predictive Maintenance.
We enable the deployment and development of a portfolio of McKinsey
proprietary solutions required to successfully tackle and solve the complex
challenges of the heavy industries. Our clients cover the entire energy value
chain, including energy companies, industry clients, investors and public
sector clients. Working hand-in-hand with our Global Energy & Materials
consulting practice and with access to the expertise of the wider McKinsey
network, our research and analysis yield knowledge available nowhere else.

What You'll Do

You'll help shape the fourth industrial revolution for our clients through
proprietary models and leveraging unique components built on top of existing
market simulation solutions.
In this role, you will focus on several geographies and work closely with
experts from our Oil & Gas, Electric Power, Chemicals, Basic Materials, and
Transport Travel and Logistics & Resource Productivity practices. This will
involve coordinating macroeconomic, technological and policy trends with
McKinsey's insights on industry level- and overall energy system development.
You will engage with clients as part of a cross-functional team on studies to
deploy our models, customize them to client settings and derive the relevant
strategic insights relevant to set the course of their strategy, their data &
IoT strategy, maintenance practices and reliability strategy. You will develop
the traditional McKinsey toolkit to gain breadth and depth on the potential
options that our clients have to resolve their most complex challenges.
You will actively contribute to internal and external outreach efforts to grow
the brand awareness and support our client development efforts while
identifying new opportunities for McKinsey to develop new digital products to
better services our clients.
You will play an active role in the delivery of our solution to power utility
clients, and will help build a new entrepreneurial knowledge-based business as
MaintenanceAI is an extension of McKinsey's service and is expected to grow
substantially within the next five years. We will be building the future of
the heavy industry sector together.

Qualifications

• Advanced degree in computer science, engineering, statistics, mathematics, physics or any other discipline with a quantitative focus with an outstanding record of academic achievement


• ‎1+ years of technical experience in reliability and maintenance, distributed computing, machine learning and statistics related work; preferably in the energy industry


• Experience developing or deploying digital tools, machine learning models or cloud infrastructure


• Passion for energy transition


• Programming experience in R, Python


• Demonstrated aptitude for analytics


• Ability to work in a fast-paced, result-oriented team with a steep learning curve


• Proven record of leadership in a work setting and/or through extracurricular activities


• Ability to work collaboratively in a team environment and can work effectively with people at all levels in an organization


• Excellent communication skills; ability to explain complex analytical concepts to colleagues and clients from other fields


• Demonstrates an entrepreneurial spirit


• Fluent English and Arabic