Description
We are seeking an experienced AI/ML and Applied Data Science Lead to join our Enterprise Solutions team. You will define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.
Responsibilities:
- Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions
- Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction
- Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response
- Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems
- Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise
Requirements:
- 25+ years of experience in analytics, data science, and machine learning
- Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation
- Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets
- Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements
Preferred Qualifications:
- Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value
- Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations
- Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority
- Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example
Benefits:
- Health & Wellness: Health care coverage designed for the mind and body
- Flexible Downtime: Generous time off helps keep you energized for your time on
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
- Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families