VP Data Science: Production ML Leader in Finance in London

VP Data Science: Production ML Leader in Finance in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
S&P Global

At a Glance

  • Tasks: Lead the design and implementation of advanced machine-learning systems in finance.
  • Company: Join S&P Global, a leader in financial analytics and innovation.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of finance.
  • Other info: Collaborative environment with opportunities for professional growth and development.
  • Why this job: Make a real impact in the financial sector with cutting-edge AI/ML technologies.
  • Qualifications: 25+ years of experience in analytics and risk management required.

The predicted salary is between 70000 - 90000 Β£ per year.

S&P Global is seeking a Data Scientist Leader to drive the design and implementation of advanced analytical and machine-learning systems. You will ensure the quality of AI/ML models and collaborate with cross-functional teams in the financial services sector to enhance operational outcomes.

The ideal candidate will possess over 25 years of experience and demonstrate a strong foundation in analytics and risk management. The role involves significant hands-on technical contributions and mentoring opportunities.

VP Data Science: Production ML Leader in Finance in London employer: S&P Global

S&P Global is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the financial services sector. Employees benefit from extensive professional growth opportunities, including mentorship from industry leaders and the chance to work on cutting-edge AI/ML projects that drive impactful outcomes. Located in a vibrant area, S&P Global provides a supportive environment where your contributions are valued and recognised.

S&P Global

Contact Details:

S&P Global Recruitment Team

We think you need these skills to ace VP Data Science: Production ML Leader in Finance in London

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Governance