Senior Data Scientist - QuantumBlack LabsQuantumBlack, AI by McKinsey • London, England, United Kingdom
Senior Data Scientist - QuantumBlack Labs
QuantumBlack, AI by McKinsey
- London, England, United Kingdom
- London, England, United Kingdom
Über
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
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 optimised code, and enhance our internal Data Science Toolbox. You will collaborate on multiple projects, ensuring statistical rigour 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 modernise IT systems, harness the power of data, and achieve lasting improvements in their industries. Your contributions will enable organisations 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, optimise 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, 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 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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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