Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative AI/ML solutions and collaborate with diverse teams to tackle complex challenges.
- Company: Join a global leader in AI and data science with a vibrant, inclusive culture.
- Benefits: Enjoy competitive salary, comprehensive benefits, and a focus on your holistic well-being.
- Why this job: Make a real impact while growing as a leader in a fast-paced, supportive environment.
- Qualifications: Bachelor's or higher in relevant fields and 2-5 years of experience in machine learning.
- Other info: Work in a dynamic team across 65+ countries, driving innovation and creativity.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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 will 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 will 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 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. We open-source some of these frameworks, like in the case of Kedro, ARK.
- Building innovative industry‑specific AI/ML solutions that embed our distinctive technical approach and business knowledge for enterprise clients.
As a Data Scientist II, you will create scalable data science solutions, enhance existing assets, and work with diverse datasets to address complex challenges across industries. Collaborating with global, multidisciplinary teams, you'll drive innovation, develop impactful technologies, and grow as a leader in AI and machine learning. You will work with diverse and complex data sets, develop data science products, and write optimized code to enhance our internal tools. Collaborating with data 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 data science community by writing papers, presenting at conferences, and sharing knowledge with colleagues.
You will be based in London or Madrid and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack leadership, client executives, and technical experts, you will lead the development and application of cutting‑edge machine learning and AI solutions to drive measurable business impact. At McKinsey, you’ll grow as a technologist and leader, working in a collaborative, multidisciplinary environment. You’ll push the boundaries of innovation and technology while shaping the future of AI and data science alongside inspiring individuals.
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.
- 2-5+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data.
- Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable.
- Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R, SPSS, SAS (nice to have); Software Engineering is a plus.
- Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data.
- Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
- Experience deploying technology applied to business problems is a plus.
- 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.
- 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.
Data Scientist II - QuantumBlack Labs employer: Mckinsey & Company, Inc.
Contact Detail:
Mckinsey & Company, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist II - QuantumBlack Labs
✨Tip Number 1
Network like a pro! Reach out to current employees at QuantumBlack Labs on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with machine learning, data science, and programming languages like Python and SQL. Practice common interview questions and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Showcase your passion for continuous learning! During interviews, share examples of how you've embraced feedback and improved your skills. This aligns perfectly with the culture at QuantumBlack Labs, where growth and development are key.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to the exciting work we do.
We think you need these skills to ace Data Scientist II - QuantumBlack Labs
Some tips for your application 🫡
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about using AI and machine learning to solve real-world problems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight relevant experience, especially in machine learning and data mining. We want to see how your skills align with what we do at QuantumBlack Labs, so don’t hold back on showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential fit for the team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Mckinsey & Company, Inc.
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your experience with machine learning techniques and how you've applied them to real-world problems. Prepare examples that showcase your ability to handle complex datasets and deliver impactful solutions.
✨Show Your Resilience
Since the role requires someone who thrives in a high-performance culture, be prepared to share stories about challenges you've faced and how you've overcome them. Highlight your determination and curiosity, and demonstrate how you’ve learned from setbacks to drive innovation.
✨Embrace Continuous Learning
Talk about your commitment to personal growth and how you actively seek feedback. Mention any structured learning programs or mentorship experiences you've had, and how they’ve shaped your development as a data scientist. This aligns perfectly with the company’s focus on continuous learning.
✨Communicate Effectively
Strong communication skills are key, so practice explaining complex concepts in simple terms. Be ready to adjust your communication style based on your audience, whether it’s technical colleagues or client executives. This will show that you can collaborate effectively within diverse teams.