Data Science Leader for AI-Driven Banking Solutions

hace 17 horas


Madrid, Madrid, España Bbva A tiempo completo

Bbva is a global financial institution with a rich history of innovation, operating in over 25 countries and serving more than 80 million customers. Our data-driven approach has led to significant advancements in the banking industry.

The Data area at Bbva operates as a global hub, with development centers in Spain, Mexico, and Turkey. Our mission is to develop complete end-to-end data products that address business needs by collaborating closely with various units to transform strategic priorities into actionable data-driven solutions. We thrive on collaboration and innovation, leveraging state-of-the-art AI techniques to tackle complex challenges in finance.

About the role:

We are seeking an experienced Senior Expert Data Scientist to join our dynamic team in Madrid. As a senior member of our team, you will lead the development of cutting-edge AI-driven data products that enhance key banking processes. You will work collaboratively with a diverse group of experts to drive the development of new AI-supported customer relationship models that benefit both customers and managers.

Key Responsibilities:

  • Lead Analytical Projects: Supervise the end-to-end development of analytical solutions, including implementation, monitoring, and model adjustments. Manage and execute key analytical projects within the DATA area, aligning with strategic objectives, while leading analytical teams to ensure successful project delivery.
  • Translate Business KPIs into Team Tasks: Break down business objectives into actionable tasks for the team, ensuring alignment with strategic goals.
  • Delivery Management: Oversee the product backlog and ensure timely delivery of product deliverables through committed features in every PI (Program Increment).
  • 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 the quality of analytical models built as well as the communication and sharing of knowledge. Coordinate with your peers to ensure that the flow of knowledge and decisions are contrasted, and identify opportunities for improvement and new ways of working.

Requirements:

We are looking for a highly skilled professional with:

  • A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • A PhD in Computer Science, Statistics, Mathematics, or a related field is a plus.
  • 10+ years of experience working as a Data Scientist in multidisciplinary projects with at least 5 years leading multidisciplinary data science teams.
  • Strong SQL skills; experience with relational databases.
  • Strong skills in programming languages like Python, Py Spark, R.
  • Ability to design efficient data extraction, cleaning, and transformation processes.
  • Deep knowledge of a broad set of machine learning techniques applied to solve complex business problems, including A/B testing for model performance.
  • Strong communication and presentation skills. Excellent ability to translate complex technical concepts into actionable business insights.
  • Experience in AWS, Google Cloud, or Azure for scalable data science solutions, including experience with Docker and Kubernetes.
  • Hands-on experience with deep learning techniques using frameworks like Tensor Flow, Py Torch, or Keras.
  • Expertise in Machine Learning Lifecycle: Experience in supervising the entire lifecycle of machine learning models to ensure reliable and reproducible results as data products.
  • Knowledge of ethical AI principles, data privacy laws (like GDPR, CCPA), and a commitment to responsible data science practices.

Compensation and Benefits:

We offer a competitive salary range of €120,000 - €180,000 per year, depending on experience, plus additional benefits such as health insurance, retirement plan, and paid time off. Salary may vary based on location.


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