Data Scientist, Financial Services Lab — AI & Impact

McKinsey & Company, Inc.; Lisboa; Presencial; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Continuous learning

A voice that matters

Global community

World-class benefits

Resumo da oferta

McKinsey & Company, Inc. seeks a data scientist to apply predictive modelling, geospatial analysis, generative AI, and optimization to large datasets for influential clients.

You will partner with client teams to deliver week-one analyses and rapid analytics development, shaping reusable data-driven insights and data ecosystem best practices. You’ll join a global community of experts, guiding datasets, KPIs, and analytic strategies while contributing to data risk policies and KPI

Qualificações

• Master’s degree in quantitative fields such as Mathematics, Computer Science, Engineering, Physics, or related discipline.
• 2+ years of professional experience in data science, data engineering, or related field.
• Experience with ETL pipelines and orchestration tools such as Airflow; Databricks and data modelling techniques.

Responsabilidades

• Apply advanced analytics techniques to large-scale datasets across client settings.
• Partner with client teams to drive week-one analyses and quick-turn analytics developments.
• Develop reusable data-driven insights and SAP-like data ecosystem portrayals for clients and internal stakeholders.
• Advocate for data/analytics use and guide dataset and analytic strategy selections.
• Collaborate across practices, analytics groups, and technical teams to ensure synergy and cutting-edge outputs.

Conhecimentos

Advanced analytics

Predictive modelling

Geospatial analysis

Generative AI

Data engineering

Python libraries

Git and CI/CD

LLMs and tool calls

Azure cloud services

Kubernetes & Docker

Data storytelling

Cross-functional collaboration

Formação académica

Master’s degree in quantitative fields

Ferramentas

Airflow

Databricks

Descrição da oferta de emprego

McKinsey & Company, Inc. seeks a data scientist to apply predictive modelling, geospatial analysis, generative AI, and optimization to large datasets for influential clients.

You will partner with client teams to deliver week-one analyses and rapid analytics development, shaping reusable data-driven insights and data ecosystem best practices. You’ll join a global community of experts, guiding datasets, KPIs, and analytic strategies while contributing to data risk policies and KPI