14 jobs in McKinsey & Company, Inc.

McKinsey & Company, Inc. is seeking a Data Scientist to join their global scientific AI team. The role focuses on building AI and machine learning models for applications in therapeutics and materials science. You will collaborate with a multi-disciplinary team to enhance McKinsey’s AI offerings while supporting client delivery teams.

This position requires a Master’s or PhD degree and at least 2 years of relevant experience. Strong programming skills in Python and experience with machine learning are essential. The role promises significant professional growth and development opportunities.

YOUR IMPACT

You will act as the digital risk lead embedded within ClienTech’s product, data, and engineering ecosystem, ensuring that secure-by-design principles, firm cybersecurity standards, and ClienTech-specific delivery patterns are consistently applied across digital assets, accelerators, and client deployments. You will embed cybersecurity controls and secure design practices into ClienTech pipelines, reusable assets, accelerator builds, and delivery environments across AWS, Azure, and GCP. Working closely with engineering squads, you will support the implementation of secure SDLC and DevSecOps practices, including static analysis, dependency scanning, container hardening, threat modeling, and secure design reviews. You will also support the governance and security uplift of ClienTech internal platforms, development environments, and shared services, conduct technical assessments for emerging capabilities (including GenAI tools), track adherence to secure engineering guardrails, and highlight areas requiring uplift. During client delivery, you will work directly with client service teams to select secure runtime environments and define compliant data-handling workflows. Your work supports ClienTech’s mission to deliver high-quality, high-velocity digital solutions by operationalizing security controls, enabling engineering teams, and effectively managing cyber risk across the build-and-deploy lifecycle. You will be based in one of our core locations as part of the ClienTech technology and engineering ecosystem, partnering closely with product, data, engineering, and client service teams.

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

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, all while upholding our unwavering commitment to ethics and integrity. 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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional 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.

• Bachelor's degree or master's degree equivalent of work experience required; background in Cybersecurity, Computer Science, Engineering, or equivalent experience preferred
• 6+ years of cybersecurity experience with strong exposure to digital product engineering, cloud workloads, or security architecture
• Working knowledge of securing cloud solutions in AWS, Azure, or GCP, including IAM, networking, containerization, and Kubernetes
• Hands‑on experience with DevSecOps toolchains such as SAST, DAST, dependency scanning, container image scanning, and infrastructure‑as‑code security scanning
• Experience conducting threat modeling, secure design reviews, and engineering‑focused risk assessments
• Familiarity with industry standards and frameworks such as ISO 27001, SOC 2, OWASP, and NIST CSF
• Experience supporting digital product teams or client‑facing technology delivery units; knowledge of privacy and data protection regulations (e.g., GDPR, CCPA); and relevant professional certifications such as CISSP, CISM, CCSK, or cloud security specialty certifications are preferred
• Strong communication and stakeholder‑management skills, with the ability to partner effectively with engineering teams in fast‑paced delivery environments

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.

ClienTech is seeking a Digital Risk Lead to embed secure-by-design practices across product, data, and engineering. You will partner with engineering squads and client services to implement secure SDLC, DevSecOps, and governance of cloud workloads on AWS, Azure, and GCP.

Based in our UK office, you will drive threat modeling, design reviews, and risk assessments, while enabling fast delivery of secure digital solutions and maintaining high security standards across platforms and client

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You’ve come to the right place.

As a Software Engineer, you will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions. In this hands‑on role, you’ll develop cutting‑edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies.

In this role, you will work hands‑on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user‑centric design, and Agile values. By co‑creating with clients and their leadership, you’ll help build not only cutting‑edge products but also the technical capabilities and cultures needed to sustain them.

Your work will drive meaningful change for clients and their industries. You will participate in cross‑functional problem‑solving sessions with client leaders, shape their digital strategies, and deliver solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long‑term success. You will collaborate with clients across industries to turn their digital ambitions into reality through hands‑on technical expertise.

Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry‑shaping products and tools. At McKinsey, you’ll grow as a technologist and leader, work across diverse industries and technologies, and enjoy opportunities to contribute to digital strategies, build impactful products, and mentor others.

• 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, all while upholding our unwavering commitment to ethics and integrity. 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.

• Undergraduate or master’s degree; or equivalent experience.
• 2‑5+ years of experience developing full‑stack applications by writing code that is readable, testable, maintainable, and scalable.
• Demonstrated experience working collaboratively with other developers, as well as technical and non‑technical people within software teams.
• Hands‑on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL).
• Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD.
• Strong focus on automated testing, logging, monitoring, and overall system reliability.
• Experience working in Agile teams, including active participation in sprint ceremonies.
• Experience pair programming collaboratively with other developers.
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
• Strong communication skills, both verbal and written in English, with the ability to adjust your style to suit different perspectives and seniority levels.

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.

McKinsey & Company, Inc. is seeking a Software Engineer to join a multidisciplinary team at QuantumBlack AI. In this role, you will collaborate with clients to build impactful digital products and mentor client teams. Ideal candidates will have a strong background in full-stack development and a passion for delivering innovative solutions.

This position offers opportunities for continuous learning, a global community, and world-class benefits designed for holistic well-being.

McKinsey & Company, Inc. is seeking a highly capable engineer to work on QuantumBlack Labs in the Robotics and Physical AI team.

Based in London or Madrid, you will lead advanced simulations, surrogate models, and ML-driven insights for industrial clients, collaborating across global teams to deliver impactful solutions. The role emphasizes building scalable physics-informed AI capabilities, translating data into strategic guidance, and advancing production-grade tools on HPC.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

You will be part of QuantumBlack Labs and the Robotics and Physical AI team within our Advanced Industries Sector, a group of engineers, scientists, product managers, and machine learning specialists building a first of its kind physics AI capability that accelerates and scales how the world designs and builds physical systems. Our team is responsible for:

• Building multi-physics simulation frameworks, digital twins, and surrogate models that stand in for slow, expensive physics solvers
• Applying physics-informed machine learning and robotics to real-world engineering systems across advanced industries, from chip design to aircraft manufacturing
• Deploying scalable, production grade tools on HPC infrastructure that embed our distinctive technical approach and engineering knowledge for industrial clients

You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients. You’ll create surrogate models that replace costly simulations, compress design cycles from weeks to minutes, and bring autonomy to robotic systems on the factory floor. Collaborating with global, multidisciplinary teams, you’ll drive innovation, develop impactful technologies, and grow as a leader in physical AI. You will work with diverse and complex engineering data sets, develop scientific software products, and write optimized code to enhance our internal tools. Collaborating with scientists, engineers, and designers, you will leverage advanced math, statistics, and machine learning to deliver impactful solutions and grow the firm’s capacity to deliver at scale. Your work will help clients address their most pressing challenges by deploying cutting-edge technology and amplifying impact across industries. You will also contribute to the broader physical AI community by writing papers, presenting at conferences, and sharing knowledge with colleagues. You will be based in London or Madrid and collaborate closely with scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex engineering challenges across a range of industries, leading the development and application of cutting-edge physics AI solutions that drive measurable business impact. You’ll grow as a technologist and leader in a collaborative, multidisciplinary environment, pushing the boundaries of innovation while shaping the future of physical AI and robotics.

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, all while upholding our unwavering commitment to ethics and integrity. 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.

• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply.
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++).
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques.
• Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion.
• Proficient in rational decision-making based on data, facts, and logical reasoning.
• Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles or other written deliverables.
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
• Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times.
• Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.).
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.

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.

McKinsey & Company, Inc. is seeking a professional in the City of Westminster to act as a security point of contact for AI and technology practices. The role involves promoting security policies, conducting product security reviews, and ensuring adherence to compliance metrics.

Candidates should have extensive experience in cyber security and show strong analytical and communication skills. The position offers excellent growth opportunities within a diverse and supportive work environment.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

You will act as a security point of contact for QuantumBlack, AI by McKinsey and McKinsey Technology Practices with additional support from the rest of the Tech Ecosystem organization as and when required. You will drive the promotion and adoption of the Secure Development Lifecycle, DevSecOps and Cloud security policies, and contribute to the development and continual improvement of the Tech Ecosystem security strategy. You will provide reporting on security compliance, incidents, Key Performance Indicators (KPIs) and Objectives and Key Results (OKRs). You will also deliver and represent the priorities of the Practice back to Tech Ecosystem Leadership. You will conduct comprehensive product security reviews and assist products in vulnerability management. Your work will help secure the products created by the developers and engineers at McKinsey that enable our consulting teams to deliver the value and impact McKinsey is known for. You will be based in one of our offices located in Prague, London, San Jose, or Sao Paulo.

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

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, all while upholding our unwavering commitment to ethics and integrity. 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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional 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.

• 5+ years of corporate and/or professional services experience in Cyber or a similar information security role
• Technical understanding of a range of enterprise IT and cloud-based architectures and technologies (AWS, Azure, etc.)
• Experience conducting product security reviews and knowledge of vulnerability management
• Working Knowledge of common information security controls, guidelines and standards, such as ISO27001, SOC 2, NIST CSF, NIST SP800-53, GDPR, etc.
• Strong analytical and organizational skills and the ability to work independently, as well as part of a wider team, with minimal supervision
• Professional certifications such as CISSP, CISM, CCSK, or cloud security specialty certifications are preferred but not required
• Demonstrated interest in and hands‑on experience with AI technologies, including the use of generative AI tools to improve productivity, security analysis, research, or operational processes.
• Awareness of emerging AI security risks and considerations, with a willingness to learn and apply evolving best practices related to AI governance, data protection, and responsible AI use.
• Strong written and verbal communication skills with the ability to converse effectively at all levels of seniority, both internally and externally

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.