At a Glance
- Tasks: Develop AI models and support client discussions in a dynamic, multi-disciplinary team.
- Company: Join McKinsey's global scientific AI team, known for innovation and collaboration.
- Benefits: Competitive salary, comprehensive benefits, and a focus on holistic well-being.
- Other info: Experience a culture of continuous learning and diverse perspectives.
- Why this job: Make a real impact with cutting-edge technology while growing your skills rapidly.
- Qualifications: Master’s or PhD with 2+ years in statistics, mathematics, or computer science.
The predicted salary is between 60000 - 80000 £ per year.
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
Data Scientist - Scientific AI in City of Westminster employer: Mckinsey & Company, Inc.
At McKinsey & Company, we pride ourselves on being an exceptional employer, particularly for those in the Data Scientist - Scientific AI role. Our London and Wroclaw offices foster a collaborative and innovative work culture where your contributions are valued from day one, and you will have access to world-class mentorship and continuous learning opportunities. With a commitment to diversity and a comprehensive benefits package, we empower our employees to thrive both personally and professionally while making a meaningful impact in the field of AI and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Scientific AI in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at McKinsey or in the scientific AI field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you've applied them in real-world scenarios. Practice explaining complex ideas in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant data science projects, make sure to highlight them during interviews. Bring along examples of your code or models, and be prepared to discuss the challenges you faced and how you overcame them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at McKinsey.
We think you need these skills to ace Data Scientist - Scientific AI in City of Westminster
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and AI shine through. We want to see how excited you are about tackling complex problems and making a real impact in the field!
Tailor Your Experience:Make sure to highlight your relevant experience in statistics, machine learning, and programming. We love seeing how your unique skills can contribute to our team, so don’t hold back on showcasing your achievements!
Be Clear and Concise:While we appreciate creativity, clarity is key! Use straightforward language to explain your technical expertise and how it relates to the role. Remember, we’re looking for someone who can translate complex ideas into simple terms.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Mckinsey & Company, Inc.
✨Know Your Stuff
Make sure you brush up on your statistics, machine learning techniques, and programming skills in Python. Be ready to discuss specific projects where you've applied these skills, especially in a business context. This will show that you can translate complex technical concepts into practical solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenging problems in the past. Think about situations where you had to be creative or resilient. Highlight your thought process and the impact of your solutions, as this aligns perfectly with the role's focus on creative problem-solving.
✨Engage with the Interviewers
Don’t just answer questions—engage in a dialogue! Ask insightful questions about the team’s current projects or challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
✨Demonstrate Your Growth Mindset
Emphasise your willingness to learn and adapt. Share experiences where you’ve received feedback and used it to improve. This aligns with the company’s culture of continuous learning and shows that you’re ready to grow alongside the team.
