What Mckinsey Company Jobs are in the United Kingdom?

Who You’ll Work With

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 encourage diverse perspectives, which 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. You’ll also 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.

As a Senior Software Engineer, you will lead architecture design, drive technology decisions, and co‑create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your role offers hands‑on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader.

You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co‑create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user‑centric solutions.

Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology.

You will design and deliver next‑generation products that transform businesses across industries. 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.

Your role offers unparalleled opportunities for growth and innovation. At McKinsey, you’ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you’ll make a lasting impact on clients, industries, and the future of technology.

• Bachelors, Master’s or PhD level degree in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
• 7-8+ years of experience in software development, with significant full‑stack web application development experience strongly preferred.
• Experience working collaboratively with technical and non‑technical team members and stakeholders.
• 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 modeling and coaching others to use engineering best practices such as design patterns, customer‑centric design, test‑driven development, code refactoring, code review, and OWASP Top 10 security awareness.
• Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities.
• 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.

Who You’ll Work With

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.

You’ll lead the deployment and scaling of a next‑generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems.

You’ll work directly with clients, embedded in their environments, navigating real‑world constraints that don’t surface in controlled settings. The combination of hands‑on engineering, client‑facing delivery, and direct product influence defines your role.

You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real‑world environments and ensuring they work at scale. You’ll be at the center of how these systems are deployed, adopted, and operated, helping organizations translate complex AI strategies into practical, high‑impact solutions.

You’ll take ownership of the platform delivery lifecycle, including the most demanding engagements, where environments are often non‑standard and requirements evolve quickly. You’ll lead large‑scale, multi‑workstream deployments across cloud and hybrid infrastructures in enterprise environments (e.g., AWS, Azure, GCP), guiding architectural decisions and setting direction for complex deployments across engagements.

Your work frequently involves containerized and distributed systems, including Kubernetes‑based environments, where reliability, scalability, and operational stability are critical. From validating performance and resilience to ensuring structured handovers, your work ensures systems are production‑ready and built to last. Along the way, you’ll help shape how delivery is structured across teams, evolving tooling, automation, and delivery practices based on real‑world experience, and working hands‑on to resolve complex issues in production.

The impact of your work is tangible. You’ll enable clients to run advanced AI‑driven workflows and manage intelligent systems within their existing technology ecosystems, often in regulated or multi‑region settings. Working closely with senior technical stakeholders, you’ll help define deployment strategies, navigate complex challenges, and guide adoption through practical, experience‑led best practices. Your perspective from the field will also feed directly into product development, influencing how QuantumBlack, AI by McKinsey, technology continues to evolve. You’ll maintain a continuous feedback loop with the product team — surfacing patterns from the field, contributing to issue resolution, and helping ensure that real‑world deployment experience shapes the platform’s evolution.

Based in one of our European offices, you’ll work closely with engineers, product teams, and technical experts across the QuantumBlack, AI by McKinsey, global community. Beyond leading deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. You’ll also play a key role in developing others—mentoring engineers, reviewing approaches, and helping teams raise the bar for quality and delivery. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments.

At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought‑after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.

• Bachelor’s or Master’s in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field.
• 8+ years of hands‑on experience in software, platform, or infrastructure engineering, with a track record of leading enterprise‑scale platform rollouts.
• Strong full‑stack engineering – proficiency in Python and modern web frameworks (React, NextJS or equivalent).
• Experience designing, deploying, and managing cloud‑based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands‑on experience operating and troubleshooting production systems; deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale.
• Experience leading complex deployments, guiding architectural decisions, and driving delivery standards across engagements in multi‑stakeholder environments.
• Strong experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm), contributing to scalable delivery automation.
• Strong understanding of data architectures and platform design, including hands‑on experience with relational databases (e.g., PostgreSQL) and familiarity with graph databases (e.g., Neo4j), alongside data pipelines and system integration patterns.
• Experience with AI‑native platform concepts, including model integration patterns, agentic architectures (tool calling, prompt orchestration, multi‑agent workflows), and data pipelines that support AI‑driven applications is a plus.
• Strong problem‑solving skills with a structured approach to debugging and resolving issues in complex, non‑standard environments, including operating and troubleshooting distributed systems in production.
• Experience with DevSecOps, infrastructure security, and networking fundamentals (e.g., IAM/SSO, RBAC, secrets management, VPNs, DNS, load balancing); experience with delivery standards, runbook development, and automation frameworks is a strong advantage.
• Familiarity with observability, monitoring, and compliance practices, and experience working in secure or regulated environments is preferred.
• Willingness to travel.
• Ability to communicate effectively in client‑facing settings, including leading technical discussions, facilitating workshops, and presenting to senior stakeholders.

Who You’ll Work With

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.

• 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.

You’ll deploy and scale a next‑generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems.

You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real‑world environments and ensuring they work at scale. You’ll play a key role in how these systems are deployed, adopted, and operated, enabling organizations to translate complex AI strategies into practical, high‑impact solutions.

You’ll own the platform delivery lifecycle, bridging product engineering and client environments. Responsibilities include deploying and configuring production‑grade systems across cloud and hybrid infrastructures (e.g., AWS, Azure, GCP), validating performance and stability, and ensuring structured handovers for long‑term success. Work often involves containerized and distributed systems, including Kubernetes‑based environments, where reliability and operational stability are critical. You’ll troubleshoot issues end‑to‑end and ensure platforms are fully production‑ready, while also contributing to deployment tooling, automation, and product feedback loops to improve platform reliability and delivery.

The impact of your work is tangible. You’ll enable clients to run AI‑driven workflows and manage intelligent systems within their existing technology ecosystems. Working closely with technical stakeholders, you’ll ensure environment readiness, resolve deployment challenges, and guide adoption through practical best‑practices. Your experience from the field will also contribute to feedback loops between deployments and product development, supporting the continuous evolution of QuantumBlack, AI by McKinsey technology.

Based in one of our European offices, you’ll work closely with engineers, product teams, and technical experts across the QuantumBlack, AI by McKinsey global community. Beyond platform deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments. You’ll also contribute to team knowledge‑sharing — documenting patterns, refining delivery practices, and supporting colleagues across engagements.

At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought‑after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.

• Bachelor’s, Master’s in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
• 4+ years of hands‑on experience as a Software or Platform Engineer, with exposure to enterprise platform deployments
• Strong engineering fundamentals with proficiency in Python and familiarity with modern full‑stack development (e.g., React, NextJS or equivalent)
• Experience designing, deploying, and managing cloud‑based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands‑on experience operating and troubleshooting production systems
• Deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale
• Experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm)
• Strong understanding of data architectures and platform design, including relational and graph databases (e.g., PostgreSQL, Neo4j), data pipelines, and system integration patterns across structured and unstructured data
• Familiarity with AI platform concepts, including model integration patterns, agentic workflows, and how AI‑driven applications interact with underlying data and infrastructure is a plus
• Strong problem‑solving skills with a structured approach to debugging and resolving issues in complex, non‑standard environments
• Experience with DevSecOps and infrastructure security practices (e.g., IAM/SSO, RBAC, secrets management, encryption) is a plus
• Experience with deployment standards, runbook development, and automation frameworks is a strong advantage
• Familiarity with observability, monitoring, and compliance tooling (e.g., Prometheus, Grafana, ELK) and experience working in secure or regulated environments is a plus.
• Willingness to travel
• Ability to communicate effectively with technical and non‑technical stakeholders in client‑facing settings, including delivering walkthroughs, documentation, and training

As a People Analytics and Measurement Data Analytics Specialist, you will work directly with the Alumni Relations Team to support its strategy and mission, and drive its analytical agenda to deliver meaningful innovation and impact in analytics.

You will proactively leverage existing data and help develop the foundation for the future data infrastructure by identifying new data sources that will provide insights on the firm’s program and services, which supports 55,000 alumni worldwide.

You will develop digital products that support ROI and KPI measurement, develop fluency in extracting, cleaning, and analyzing demographic, engagement, and psychographic alumni data from multiple sources to provide insights, models, and real-time visualizations that measure ROI and KPIs related to program effectiveness. You will also create algorithms to support alumni engagement measures and indicators that reflect individual alums’ relationships with our firm more broadly, and predictive analytics to aid in strategic decision-making. You will communicate the results of the analyses, helping the team understand the findings and identifying new opportunities to leverage and enhance analytic capabilities.

You will have the opportunity to gain new skills and build on the strengths you bring to the firm through direct mentorship, training, and coaching provided by other People Analytics and Measurement data analysts, data scientists, and data engineers.

• Bachelor's or master’s degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
• Success as an individual contributor within a broader team
• Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities
• Ability to synthesize quantitative and qualitative findings into actionable insights and communicate them effectively
• Technical and analytical experience, including analytical tools and software such as R (preferred), Python, Tableau, Alteryx, Knime, or other programming experience
• Exploratory data analysis, including web analytics platforms, to understand the characteristics of a data set and identify patterns
• Comfort in dealing with ambiguity, making assumptions, and drawing conclusions
• Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello, and version control tools like git and GitHub
• 4+ years of professional experience in applied analytics or research
• Solid analytical and data management skills
• Flexibility in working style, willingness to collaborate with a team virtually, and ability to work independently based on project and other circumstances
• Understanding of digital product lifecycle
• Proficiency in SQL, including experience retrieving data from relational databases
• Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
• Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
• Experience with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software

Who You'll Work With

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.

• 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.

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.

• 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

Who You’ll Work With

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.

• 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.

You will support the overall Ethics & Compliance (E&C) function modernization plan and related initiatives, driving the E&C program strategy and objective setting and working directly with E&C leadership to develop and maintain the annual compliance program and related initiatives.

Additionally, you will support initiatives to enable E&C program leader’s goal setting and planning, ensuring all areas of E&C are consistent and in line with the overall program strategy. You will work in the E&C’s Strategic Operations & Regulatory Response pillar, which is responsible for instilling trust that our firm adheres to global regulatory and reporting requirements and expectations.

You will be responsible for supporting and leading initiatives that drive global E&C program effectiveness, with a distinctive focus on continuous improvement. You will lead key initiatives that enable the broader E&C function to be successful and will be expected to facilitate collaboration with your team and leaders both within E&C and across our firm. Additionally, you will support and manage initiatives and projects with a focus on analyzing key processes and controls. You will support and manage improvements with a particular focus on simplification and optimization of the end‑user experience.

You will also support the management of the overall E&C technology ecosystem. You will work with the Compliance Manager, Design & Transformation, to manage E&C technology solutions, assisting in the implementation of new technology solutions and recommending ways to integrate and consolidate our dedicated E&C tools. You will also support change management efforts to ensure initiatives and projects have proper adoption and engagement by stakeholder groups. You will partner with the Strategic Operations team to implement change‑management strategies.

You will assist in tracking performance metrics to determine areas of efficiency and effectiveness related to E&C processes and controls and monitor KPIs and other related indicators to ensure we are responsive to design and optimization activities. You will also contribute and be a thought partner within the function, in addition to supporting key organizational, operational, or strategic initiatives, as relevant.

Additionally, you will engage in regionally focused initiatives, such as infusing our integrity agenda, under the direction and coordination of our regional E&C leaders, the purpose of which is to raise awareness of and further the firm’s E&C program, and other agreed‑upon supporting activities in your region or location.

Collaboration is a key aspect of this role. You will collaborate with cross‑functional and senior stakeholder groups (e.g., Legal, Risk, Finance, Procurement) across our firm in a timely and efficient manner on existing, new, or enhanced procedures, policies, or guidelines. Finally, you will play a critical role in sustaining and evolving our E&C program and upholding our commitment to integrity and lawful practices.

The E&C function’s mission is to manage risks to our firm, our clients, and our people, while also enabling our firm’s client impact and innovation. The E&C function is a globally integrated team within the second line of defense of our firm.

McKinsey has an E&C program that is structured in a way that ensures it is well designed, empowered to function effectively, and works in practice. Our E&C program includes a clear message that misconduct is not tolerated as well as policies, procedures, training, monitoring, and consequence management to ensure the program is well integrated into our firm’s operations and workforce.

• Bachelor’s degree required, advanced degree(s) and/ or applicable professional certifications (e.g., Juris Doctor or CPA) preferred
• 5+ years of professional experience in program/project management, strategy and operation, and transformation type roles; Experience in ethics, compliance, risk, legal, and/or governance programs preferred
• Professional services and/or consulting experience, with a strong preference for McKinsey consulting experience, is required
• Program and/or project management experience, including large transformations, is required
• Technology integration, implementation, and/or enablement experience, including experience with Artificial Intelligence (AI), is required
• 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
• 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

Join to apply for the Consultant - Operations Excellence Program role at McKinsey & Company .

Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is challenging work. You are someone who thrives in a high-performance, high-reward culture—embracing hard tasks, resilience in setbacks, and persistence in finding solutions.

In return for your drive, determination, and curiosity, we offer resources, mentorship, and opportunities to accelerate your leadership development. Our colleagues are deeply invested in your growth, providing apprenticeship, coaching, and exposure to enhance your skills uniquely.

When you join us, you will have:

• Continuous learning: Our culture promotes growth through structured programs, feedback, and a fast-paced learning environment where you own your development.
• A voice that matters: Your ideas and contributions are valued from day one, impacting our work and outcomes.
• Global community: Collaborate with colleagues from 65+ countries and over 100 nationalities, fostering diversity and creativity.
• World-class benefits: Competitive salary based on location, experience, and skills, plus comprehensive benefits supporting your well-being.

Your Impact
As a participant in our two-year Operations Excellence Program (OEP), you will engage in client work similar to other McKinsey consultants, focusing on problem-solving, analysis, and recommendations. You will develop operational and consulting skills through on-the-job coaching and structured training in areas such as manufacturing, product development, purchasing, or supply chain management.

Upon completing the program, successful consultants join our global network of operational excellence experts. You will be based in one of our European offices, working across industries and service lines to help clients achieve operational excellence.

Please submit your application in English, including your CV and transcripts (high school, university, etc.), with all relevant grades.

#Ops2025

Your Qualifications and Skills

• Master’s degree and exceptional academic record
• Experience in operational topics (e.g., lean manufacturing, Six Sigma, Industry 4.0, process optimization)
• Leadership experience in work or extracurricular activities
• Willingness to undertake European assignments during the work week
• Strong analytical and quantitative problem-solving skills
• Effective communicator in English and local language, both verbally and in writing

• Mid-Senior level

• Full-time

• Consulting, Engineering, and Project Management

• Civil Engineering, Industrial Machinery Manufacturing, Oil and Gas

This job posting is active.

WHAT YOU'LL DO

• You will review and advise our consulting and asset teams on technology products that we build as a service to our firm and clients.
• You will draft, review and negotiate complex contracts relating to software, artificial intelligence, data analytics, cyber security, and data usage. Negotiations will entail frequent interaction with McKinsey clients and consultants.
• You will monitor regulatory proposals and changes, developing strategies for implementing regulatory requirements, and educating our teams outside of legal on regulatory developments in their space.
• You will counsel consultants on a variety of other legal issues and work with them as they proceed through the firm’s risk and economic committee approval processes.
• You will take an active role in internal knowledge and learning, e.g., developing precedent documents and rolling-out training for firm leadership, the wider McKinsey Legal Department and other firm functions.
• You will also identify best practices to address legal and professional issues impacting the firm’s business, including counseling consultants on the application of McKinsey’s internal policies.

• 5+ years’ experience advising on at least several of the matters referenced above
• Team player who is highly collaborative, collegiate and flexible with a willingness to take on new, unexpected and challenging assignments
• Excellent communicator: conveys information clearly in written and verbal form; can translate large amounts of complex information into a digestible format capable of understanding by busy, non-legal professionals
• Comfort in a highly challenging, fast-paced and dynamic environment
Fluent in English
• Commercial awareness: ability to identify the most salient pressure points in complex and varied technological scenarios
• Accomplished project manager with the ability to readily switch between pragmatism and in-depth analysis

McKinsey & Company seeks a People Analytics and Measurement Data Analytics Specialist to support the Alumni Relations Team. You will drive analytics for measuring ROI and KPIs, develop digital products, and provide insights on alumni engagement.

Ideal candidates will possess a relevant degree, 4+ years of analytics experience, familiarity with tools like SQL, R, and Tableau, and a strong analytical skillset. This is an opportunity to gain new skills and collaborate in a dynamic team environment.