McKinsey & Company, Inc.

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.

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. YOUR IMPACT 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. YOUR GROWTH 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. YOUR QUALIFICATIONS AND SKILLS 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 in London is seeking a data engineer to build foundational data infrastructure powering AI applications. You will design scalable data pipelines and secure data environments, preparing data for AI-driven systems while collaborating with cross-functional teams and clients. You will collaborate with Data Scientists and ML Engineers across McKinsey's QuantumBlack and AI by McKinsey groups to translate hypotheses into engineered features and push forward scalable AI capabilities.

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. YOUR IMPACT You will build the foundational data infrastructure that powers cutting edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures. You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI driven systems while collaborating with cross functional teams and clients. You'll tackle real world challenges by contributing to the development of next generation AI systems and grow as a technologist by working alongside diverse experts across industries. You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You'll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you'll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next generation AI capabilities. Your work will help solve some of the most complex and high impact challenges facing clients across industries. Collaborating across McKinsey's QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help develop innovative AI capabilities and scalable enterprise solutions. You'll help build robust data foundations for scalable, production ready AI systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact. You'll be based in London as part of our global Data Engineering community. Working in cross functional Agile teams, you'll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C level executives you'll help solve complex problems that drive tangible business value and begin to build your skills as a client facing technologist. You will grow at the forefront of AI, data engineering, and emerging agentic technologies. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some of the leading AI and data experts in the industry. 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, 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. YOUR QUALIFICATIONS AND SKILLS Degree in Computer Science/Engineering, or equivalent experience Experience in a data focused role (internships, academic projects) Ability to write clean, well documented code in a modern programming language, with a strong preference for Python and SQL Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch) Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.) Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles Exceptional time management in a complex and largely autonomous work environment Willingness to learn quickly and adapt to different project situations and tech stacks Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus Strong communication skills, both verbal and written, in English 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.

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. YOUR IMPACT 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. 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, 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. YOUR QUALIFICATIONS AND SKILLS 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.

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. YOUR IMPACT 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. YOUR GROWTH 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. YOUR QUALIFICATIONS AND SKILLS 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.

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.

McKinsey & Company, Inc. in the United Kingdom is seeking a Senior Software Engineer to lead architecture design and technology decisions. The ideal candidate will mentor teams and collaborate closely with clients to adopt Agile practices while shaping user-centric solutions. This role offers unparalleled growth opportunities and exposure to diverse technologies. The candidate should have significant full-stack web development experience and a strong background in Agile methodologies.

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. YOUR IMPACT 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. 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, 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. YOUR QUALIFICATIONS AND SKILLS 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 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.

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. YOUR IMPACT You will be part of QuantumBlack Labs and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning. Our teams in QuantumBlack Labs are responsible for: Designing products that can explain complex data landscapes and insights to our users Building frameworks and libraries for Data Scientists, Data Engineers and Machine Learning Engineers to work in large-scale, complex projects Building innovative industry-specific AI/ML solutions that embed our distinctive technical approach and business knowledge for enterprise clients You will partner with global teams to create advanced analytics solutions, enhance data science tools, and guide junior colleagues while addressing critical client needs. You'll explore emerging technologies, engage in top industry events, and collaborate with diverse experts to deliver impactful innovations across sectors. You will leverage your advanced analytics expertise to solve complex problems, write optimized code, and enhance our internal Data Science Toolbox. You will collaborate on multiple projects, ensuring statistical rigor and reusable methodologies, while mentoring junior colleagues and supporting senior stakeholders in translating analytics into actionable insights. Your work will create real-world impact. By building cutting-edge technology assets, you will help clients modernize IT systems, harness the power of data, and achieve lasting improvements in their industries. Your contributions will enable organizations to unlock insights, solve complex problems, and amplify their impact across a broad range of issues. You will be based in one of our global offices as part of our advanced analytics and data science team. This team works on high-impact projects across industries, helping clients unlock the potential of data to solve complex challenges and achieve transformative outcomes. You will collaborate with multidisciplinary teams to develop advanced analytics assets, optimize data science tools, and mentor junior colleagues while solving complex client challenges. You'll grow as a technologist and leader. You'll have the freedom to experiment with leading technologies, attend global conferences like NIPS and ICML, and work alongside inspiring, multidisciplinary teams. You will have a unique opportunity to innovate, learn, and make a tangible difference for clients and industries worldwide. 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, 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. YOUR QUALIFICATIONS AND SKILLS Bachelors, Masters or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work Programming experience in languages such as: Python, R, Scala, SQL Proven application of advanced analytical, data science and statistical methods in the commercial world Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable. Knowledge of distributed computing or NoSQL technologies is a bonus Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports) Willingness to travel 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. in the UK is searching for talented professionals within QuantumBlack Labs to drive innovative analytics solutions using artificial intelligence and machine learning. This role involves collaboration with multidisciplinary teams to tackle complex client challenges and mentor junior colleagues. Ideal candidates will possess extensive experience in distributed computing and machine learning, with proficiency in programming languages like Python and SQL. The position offers significant growth opportunities in a supportive environment where diverse perspectives are valued.

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. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. 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, 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. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming 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 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.