Data Scientist - Financial Services Lab

McKinsey & Company; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

World-class benefits

Resumo da oferta

McKinsey & Company in Lisbon seeks a data analytics professional to apply advanced analytics techniques on large datasets and partner with client teams to deliver fast, data-driven insights. You will help develop reusable analytics products and advocate for data-driven decisions across diverse practices and stakeholders.

The role emphasizes collaboration, mentoring, and applying geospatial, AI, and optimization methods to solve client challenges in a fast-paced, high-impact environment.

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 closely related field.
• Experience with ETL pipelines, Airflow, and Databricks; data modelling techniques (3NF, data vault) with structured and unstructured data.
• Strong applied data science skills with supervised/unsupervised learning, time series forecasting, clustering, optimization, geospatial modeling, and generative AI; familiarity with ML libraries.

Responsabilidades

• Apply advanced analytics techniques including predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large-scale datasets.
• Partner with client teams across project settings to drive analyses and enable quick-turn analytics client development work.
• Develop reusable data-driven insights to craft solutions and products.
• Advocate for data and analytics, guiding dataset and analytic strategy choices to increase impact.
• Collaborate across practices, analytics groups, and technical teams to stay cutting-edge.
• Maintain and deliver a compelling portrayal of McKinsey’s data ecosystem to clients and internal stakeholders.

Conhecimentos

Data science

Data engineering

Python

JavaScript

Time series

Geospatial modeling

Optimization

ML libraries

Big data

Gen AI

Binary/Data modeling

Git

CI/CD

Azure

Kubernetes

Docker

FastAPI

React

Formação académica

Master’s degree in quantitative fields

Ferramentas

Airflow

Databricks

3NF / Data Vault

scikit-learn

XGBoost

LightGBM

PyTorch

Hugging Face Transformers

pandas

Descrição da oferta de emprego

Who You'll Work With

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.

Who You'll Work With

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'll 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'll 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. 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 apply advanced analytics techniques including predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large-scale datasets at some of the world’s most influential institutions.
You will partner with client teams across project settings to drive and produce week‑one analyses and enable quick‑turn analytics client development work. Many of these analyses will be used to develop solutions and products to craft reusable data‑driven insights.
You will become an advocate for the use of data and analytics, guiding teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients. This will enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting‑edge.
You will help to maintain and deliver a compelling portrayal of McKinsey’s data ecosystem and capabilities to clients and internal stakeholders. As well as drive awareness of the firm’s policies related to data risk and refine/operationalize KPIs.

Your Qualifications and Skills

• Master’s degree in quantitative fields such as Mathematics, Computer Science, Engineering, Physics, or a related discipline
• 2+ years of professional experience in data science, data engineering, or a closely related field
• Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands‑on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
• Strong applied data science skills with experience in supervised and unsupervised learning, time series forecasting, clustering, optimization, geospatial modeling, and generative AI; familiarity with libraries such as scikit‑learn, XGBoost, LightGBM, PyTorch, Hugging Face Transformers, and pandas
• Solid engineering capabilities in Python and JavaScript, with hands‑on experience building and operationalizing solutions using FastAPI and React
• Comfortable working with Git, CI/CD tools, and modern development workflows
• Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
• Highly inquisitive and creative problem‑solver with a passion for turning data into actionable insight
• Entrepreneurial and self‑starting mindset, comfortable navigating ambiguity in a fast‑paced, dynamic environment
• Collaborative, professional, and team‑oriented, with a strong sense of ownership and service
• Strong communication skills with the ability to convey complex technical topics to both technical and non‑technical audiences