Join to apply for the Expert Data Scientist role at BBVA
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.
* A machine learning pipeline designed to enhance early debt recovery by predicting default risk and optimizing collection strategies.
* Applying daily life embeddings to drive deeper personalization in customer interactions and improve service recommendations.
* Utilizing conformal prediction to provide reliable uncertainty estimates and enhance confidence in AI model predictions.
* Building algorithmic explainability frameworks to ensure transparency and foster trust in our AI systems.
At BBVA AI Factory, innovation isn’t just a goal — it’s a continuous journey.
We are 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. Your role involves developing explainable algorithms, building machine learning pipelines to improve debt recovery, and creating end-to-end data products to enhance banking processes. Collaborate with a diverse team to develop AI-supported customer relationship models that benefit both customers and managers.
Key Job Responsibilities
* Lead Analytical Projects: Manage and execute key analytical projects within the DATA area, aligning with strategic objectives, and lead 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 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 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.
* Senior level: Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
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