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.
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.
Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
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.
Global community: Your ImpactAs a Data Science Specialist, you'll collaborate in a dynamic, multi-disciplinary team of 3-6 experts, using your creativity and analytics expertise to drive client performance in areas like energy efficiency, product quality, and capacity.
You'll be based in our Brussels office as part of McKinsey's manufacturing AI solution, OptimusAI, which sits at the intersection of three practices: Global Energy and Materials, QuantumBlack, and Operations.
Integral Energy and Materials: Advises production and investor companies across chemicals & agriculture, paper & packaging, metals & mining, oil & gas, and power generation on strategic, operational, and growth issues.
At the intersection of these groups, OptimusAI is a team of ~10 expert consultants, data scientists, and engineers focused on improving processing plant productivity through data analytics.
We develop real-time AI advisory systems to support decision making in plant control rooms, optimize process control systems,



and unlock plant bottlenecks through data-driven process changes.
OptimusAI also supports a global community of consultants by developing an innovative machine learning toolkit and codifying our approach to deliver significant and lasting client impact.
You'll benefit from world-class training in business problem structuring and client advisory, working closely with senior manufacturing and analytics experts.
Your Qualifications and SkillsBachelor's or master's degree in data science, computer science, engineering, or a related field3+ years of hands-on experience in advanced analytics, ideally within heavy industry environmentsAdvanced Python programming skills, with a passion for writing clean, efficient, modular, and maintainable codeProven ability to implement and maintain MLOps pipelines for seamless model integration and deploymentStrong DevOps and backend engineering capabilities, including experience with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible)Self-starter with excellent organizational abilities
- able to independently initiate tasks and drive them to completionSkilled in making rational, data-driven decisions based on facts and logical reasoningAbility to create high-quality work products, such as PowerPoint presentations, Excel models, articles, or other written outputsExceptional time management skills to thrive in a complex, largely autonomous work environmentWillingness to work or attend meetings outside traditional business hours, and to take on projects at short notice when neededOutstanding verbal and written communication skills in English with the ability to tailor your style to different audiences and seniority levels
#

📌 Senior Data Science Analyst (Madrid)
🏢 Mckinsey
📍 Madrid