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BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

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At BBVA AI Factory...

BBVA AI Factory operates as a global hub within the Data area of BBVA, with development centers in Spain, Mexico, and Turkey.

Our mission is to build complete, end-to-end data products that solve BBVA's business needs by working closely with business units to transform strategic priorities into actionable, data-driven solutions. Some of our recent projects include:

• Mercury Library, an in-house AI framework now available to the entire data community, aimed at boosting collaboration and accelerating AI solution development. [https://www.bbvaaifactory.com/category/mercury/]

• A machine learning pipeline designed to enhance early debt recovery by predicting default risk and optimizing collection strategies [https://www.bbvaaifactory.com/a-machine-learning-pipeline-for-early-debt-recovery-executive-summary/]

• Applying daily life embeddings to drive deeper personalization in customer interactions and improve service recommendations. [https://www.bbvaaifactory.com/behind-daily-life-embeddings-in-action/]

• Utilizing conformal prediction to provide reliable uncertainty estimates and enhance the confidence in AI model predictions [https://www.bbvaaifactory.com/conformal-prediction-an-introduction-to-measuring-uncertainty/]

• Building algorithmic explainability frameworks to ensure transparency and foster trust in our AI systems. [https://www.bbvaaifactory.com/algorithmic-explainability-how-do-we-apply-it-in-bbva-ai-factory/ ]

At BBVA AI Factory, innovation isn't just a goal-it's a continuous journey.

About the job:

At 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. Collaborating with a diverse group of experts, you'll 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 like 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.

Skills:

Customer Targeting, Empathy, Ethics, Innovation, Proactive Thinking