# AI/ML and Applied Data Science Lead

**Company**: S&P Global
**Location**: NY NYC - 55 WATER ST 35 HRS
**Experience**: senior
**Job type**: full-time
**Salary**: $177,036 to $350,000
**Category**: Data Science
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/US---NY-NYC---55-WATER-ST-35-HRS/Global-Head--Data-Science_325497-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8368049f-21e

## Description

We are seeking an experienced AI/ML and Applied Data Science Lead to join our Enterprise Solutions (ES) Technology team.

The successful candidate 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.

Key responsibilities include:

- Designing, building, and operating production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction

- Leading the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response

- Partnering closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems

- Acting as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, and influencing decisions through deep expertise

Requirements:

- 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments

- 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

- Coaching and mentoring capability, guiding and developing data scientists through technical reviews and knowledge sharing

In terms of compensation, the anticipated base salary range for this position is $177,036 to $350,000.

We offer a range of benefits, including health and wellness programs, flexible downtime, continuous learning opportunities, and family-friendly perks.

## Skills

### Required
- machine learning
- data science
- statistical modelling
- predictive analytics
- model development

### Nice to have
- leadership
- communication
- stakeholder management
- coaching
- mentoring

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