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Principal Data Science
Job summary
A global organization in financial services is seeking a seasoned data science leader to drive advanced initiatives aimed at improving financial inclusion. The ideal candidate will have at least 10 years of experience in the banking sector, demonstrating strong skills in statistical modeling and machine learning. This role offers the opportunity to work with cutting-edge technologies and offers remote work flexibility.
Benefits
Qualifications
- Minimum 10 years of experience in data science roles within banking or financial services.
- Strong expertise in statistical modeling, machine learning, and predictive analytics.
- Proficiency in Python, R, SQL, and big data platforms.
Responsibilities
- Develop and implement advanced data models to support strategic decision-making.
- Lead data science projects focused on financial products, risk modeling, and customer analytics.
- Collaborate with cross-functional teams to integrate data-driven insights into business strategies.
- Ensure data quality, governance, and compliance with industry standards.
- Stay ahead of emerging technologies and methodologies in data science and AI.
Skills
Tools
- Lead advanced data science initiatives in financial services
- Drive impactful insights for global banking innovation
Our client is a global organization dedicated to advancing financial inclusion and innovation. They work with leading financial institutions to design and implement solutions that improve access to banking services for underserved communities worldwide.
- Develop and implement advanced data models to support strategic decision-making
- Lead data science projects focused on financial products, risk modeling, and customer analytics
- Collaborate with cross-functional teams to integrate data-driven insights into business strategies
- Ensure data quality, governance, and compliance with industry standards
- Stay ahead of emerging technologies and methodologies in data science and AI
- Minimum 10 years of experience in data science roles within banking or financial services
- Strong expertise in statistical modeling, machine learning, and predictive analytics
- Proficiency in Python, R, SQL, and big data platforms
- Excellent communication and stakeholder management skills
- Proven ability to lead complex projects
- Opportunity to influence global financial inclusion initiatives
- Work with cutting-edge technologies in a mission-driven organization
- Professional growth in a collaborative and innovative environment
- Allowed to be working from home
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.