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For Companies At a Glance
- Tasks: Create innovative AI/ML products and solutions with a diverse team of experts.
- Company: Join a global leader in advanced analytics and data science.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for holistic well-being.
- Why this job: Make a real-world impact while growing as a technologist and leader.
- Qualifications: 5-7+ years in data science, programming skills, and client-facing experience.
- Other info: Collaborate globally and attend top industry events to enhance your skills.
The predicted salary is between 48000 - 72000 £ 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.
- 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.
- 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.
- 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.
- Building innovative industry-specific AI/ML solutions that embed our distinctive technical approach and business knowledge for enterprise clients.
As a Senior Data Scientist, 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.
In this role, 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. At McKinsey, you will grow as a technologist and leader. You will have the freedom to experiment with leading technologies, attend global conferences like NIPS and ICML, and work alongside inspiring, multidisciplinary teams. Your role offers a unique opportunity to innovate, learn, and make a tangible difference for clients and industries worldwide.
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.
- 5-7+ 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.
- 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).
- 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.
- Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields.
- Willingness to travel.
Senior Data Scientist - QuantumBlack Labs employer: Mckinsey & Company, Inc.
Contact Detail:
Mckinsey & Company, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - 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. Since you’ll be working with advanced analytics, make sure you can confidently discuss your experience with Python, machine learning, and any relevant projects you've tackled.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled complex challenges in the past, especially those involving data science or AI. Real-world examples will help you stand out!
✨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 QuantumBlack Labs.
We think you need these skills to ace Senior Data Scientist - QuantumBlack Labs
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 your drive and curiosity, so share what excites you about the field and how you’ve tackled challenges in the past.
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight relevant experience, especially in machine learning and distributed computing, and don’t forget to mention any cool projects or technologies you've worked with that align with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be specific about how your skills and experiences match the job description, and don’t hesitate to showcase your innovative ideas and solutions.
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 Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and PySpark. Brush up on your knowledge of distributed computing and machine learning frameworks, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Highlight your analytical methods and how they led to impactful results. This will demonstrate your ability to apply advanced analytics in real-world scenarios.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring junior colleagues, be ready to share experiences where you’ve guided others or worked in multidisciplinary teams. This shows that you value collaboration and can contribute to a supportive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI/ML and their projects. This not only shows your genuine interest but also gives you a chance to assess if the company culture aligns with your values, especially regarding continuous learning and innovation.
