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 in a global community.
- Why this job: Make a real impact with cutting-edge AI in life sciences and advanced industries.
- Qualifications: Master’s or PhD with 2+ years in statistics, machine learning, and programming skills.
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 employer: Mckinsey & Company, Inc.
At McKinsey & Company, we pride ourselves on being an exceptional employer that fosters a high-performance culture where your contributions truly matter. With a strong emphasis on continuous learning and mentorship, you will have the opportunity to grow rapidly alongside a diverse global community of talented professionals. Our London and Wroclaw offices offer world-class benefits and a collaborative environment that encourages innovative thinking, ensuring that you can make a meaningful impact in the field of scientific AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Scientific AI
✨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 techniques and be ready to discuss how you've applied them in real-world scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, highlight your coding skills and any relevant projects you've worked on. This is your chance to demonstrate your expertise in Python and machine learning libraries, so make it shine!
✨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, you’ll find more resources and insights about the role and company culture that can help you stand out.
We think you need these skills to ace Data Scientist - Scientific AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in machine learning, statistics, and programming languages like Python. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background makes you a perfect fit for this role. Don’t forget to mention why you’re excited about working with us at McKinsey!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
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 how you've applied these in real-world scenarios, especially in relation to AI and data science.
✨Translate Tech to Non-Tech
Practice explaining complex technical concepts in simple terms. You’ll likely need to communicate with stakeholders who may not have a technical background, so being able to break down your work is crucial.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. Highlight your creative problem-solving abilities, especially in high-pressure situations, as this aligns with the company’s values.
✨Embrace Feedback
Demonstrate your willingness to learn and grow by discussing how you've used feedback in the past to improve your work. This shows that you’re open to continuous learning, which is a key aspect of the role.
