Data Scientist Innovator for Banking Excellence
hace 3 días
Company Overview
Bbva is a leading global bank with a rich history spanning over 160 years, operating in more than 25 countries and serving over 80 million customers. Our diverse team of professionals works together to drive innovation and excellence in finance.
About the Role
We are seeking an experienced Data Scientist Innovator to join our dynamic team in Madrid, Spain. As part of our AI Factory, you will work closely with business units to develop cutting-edge data products that solve real-world business challenges. Your mission will be to build end-to-end data solutions using state-of-the-art AI techniques, driving business growth and customer satisfaction.
Key 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.
Qualifications and Requirements
- 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: Strong skills in programming languages like Python, PySpark, R.
- ETL Development: Ability to design efficient data extraction, cleaning, and transformation processes.
- Aplied 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.
Salary and Benefits
The estimated annual salary for this position is €120,000, plus a range of benefits, including health insurance, pension scheme, and opportunities for professional development.
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.
Skill Requirements
- Algorithms
- Cloudera Data Science Workbench
- Data Science
- ETL Development
- Structured Query Language (SQL)
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