About the roleAt BBVA AI Factory, we're seeking a Data Scientist to join our dynamic team in Madrid. Our team thrives on collaboration and innovation, tackling complex challenges in finance with state‐of‐the‐art AI solutions. Whether it's developing explainable algorithms or building machine‐learning pipelines to improve debt recovery, we focus on creating real‐world impact. As part of our team, you'll build end‐to‐end data products that incorporate cutting‐edge AI to enhance key banking processes and help develop a new AI‐supported customer relationship model that benefits both customers and managers.
Key Job Responsibilities
Lead Analytical Projects: Manage and execute key analytical projects within the DATA area, aligning with strategic objectives, while leading analytical teams to ensure successful project delivery.
Data Analysis: Analyze large and complex data sets to uncover trends and insights that drive business decisions.
Model Building: Develop predictive models using statistical and machine‐learning techniques.
Cross‐Functional Collaboration: Work closely with product managers, engineers, and designers to implement data‐driven solutions.
Insight Communication: Present findings and recommendations to stakeholders across the organization.
Mentorship: Guide and mentor less experienced team members to foster growth and success.
Best Practices Compliance: Ensure all deliverables meet Advanced Analytics governance standards and best practices.
Your Qualifications
Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
Experience: 5+ years of experience working as a Data Scientist in multidisciplinary projects.
Databases: Strong SQL skills;
experience with relational databases.
Programming & ML Frameworks: Deep expertise in Python, statistical modeling, and machine‐learning, with strong proficiency in Pandas, NumPy, scikit‐learn, plus hands‐on experience with PySpark, TensorFlow, PyTorch and HuggingFace Transformers.
ETL Development: Ability to design efficient data extraction, cleaning, and transformation processes.
Applied Machine Learning: Deep knowledge of a broad set of machine‐learning techniques applied to solve complex business problems, including A/B testing for model performance.
Communication Skills: Excellent ability to translate complex technical concepts into actionable business insights.
Ethical AI and Responsible Data Science: Knowledge of ethical AI principles, data privacy laws (like GDPR, CCPA), and a commitment to responsible data science practices.
Nice to Have
Previous experience in the financial industry.
PhD in Computer Science, Statistics, Mathematics, or a related field.
Cloud Computing: Experience in AWS, Google Cloud, or Azure for scalable data science solutions, including experience with Docker and Kubernetes.
Experience in Causality: Knowledge and application of causal inference methods to identify and model cause‐and‐effect relationships in data.
Why You'll Love Working Here
Be part of a team that helps create an easier, more personalized banking experience offering better service to our customers.
Work on incorporating state‐of‐the‐art AI to improve key bank processes such as fraud detection, risk management, and debt management.
Join us in developing a new customer relationship model supported by AI, benefiting both end customers and managers.
Collaborate with diverse teams composed of professionals from different disciplines, including data science, machine‐learning engineering, solution architecture, developers, analysts, and product experts.
Embrace our obsessions: pursuing innovation, developing reusable components, and reaching the customer as quickly as possible.
Habilidades
Empatía
Ética
Innovación
Orientación al cliente
Pensamiento proactivo
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