Data Scientist – QuantumBlack, AI by McKinsey

About the role

Data Scientists at QuantumBlack, AI by McKinsey, work in multi-disciplinary teams to turn data into real-world impact for organisations worldwide. They help shape recommendations that improve clients' businesses, build large-scale data and analytics solutions, and work closely with the Data Engineering team.

Key responsibilities

• Work on complex, varied data sets from some of the world's largest organisations to solve real-world problems
• Develop high-quality data science products and solutions for clients and for internal data teams, focusing on modelling
• Present findings and recommendations and advise stakeholders internally and externally
• Build large-scale data and analytics solutions and learn best practices in data and analytics development, including frameworks, data security, sustainability and scalability
• Collaborate with data scientists, data/ML engineers, designers, project managers and business experts on cross-industry projects
• Develop client-facing skills: communication, problem solving and presentation, especially explaining complex analytics to non-technical audiences

Required profile

• Degree in (business) math, statistics, machine learning, data science, physics, computer science or engineering; a Master's in data science, computer science, business informatics or equivalent is a plus
• Up to 2 years of hands-on experience applying advanced data science methods and implementing technical data solutions such as machine learning models
• Strong grasp of the analytics landscape, including business intelligence, machine learning, AI and generative AI
• Proven advisory work and proven leadership in a work setting or through extracurricular activities
• Business-level fluency in German or French and English

Required skills

• Python and SQL (data and analytics focus)
• Cloud-based analytical tools such as AWS, Microsoft Azure and Google Cloud
• Generative AI application development
• Commonly used tools include PySpark, TensorFlow, PyTorch, Databricks, Docker, Kubernetes, Kedro, CausalNex and MLRun

What we offer

• A competitive salary based on location, experience and skills
• Structured learning and apprenticeship programmes with coaching and mentorship
• A global community of colleagues across 65+ countries and 100+ nationalities
• A comprehensive benefits package for you and your family