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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8368049f-21e"},"title":"AI/ML and Applied Data Science Lead","description":"<p>We are seeking an experienced AI/ML and Applied Data Science Lead to join our Enterprise Solutions (ES) Technology team.</p>\n<p>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.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing, building, and operating production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction</li>\n<li>Leading the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response</li>\n<li>Partnering closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems</li>\n<li>Acting as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, and influencing decisions through deep expertise</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>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</li>\n<li>Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation</li>\n<li>Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets</li>\n<li>Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value</li>\n<li>Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations</li>\n<li>Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams</li>\n<li>Coaching and mentoring capability, guiding and developing data scientists through technical reviews and knowledge sharing</li>\n</ul>\n<p>In terms of compensation, the anticipated base salary range for this position is $177,036 to $350,000.</p>\n<p>We offer a range of benefits, including health and wellness programs, flexible downtime, continuous learning opportunities, and family-friendly perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/US---NY-NYC---55-WATER-ST-35-HRS/Global-Head--Data-Science_325497-1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"S&P Global","sameAs":"https://www.spglobal.com/marketintelligence","logo":"https://logos.yubhub.co/spglobal.com.png"},"x-apply-url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/US---NY-NYC---55-WATER-ST-35-HRS/Global-Head--Data-Science_325497-1","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,036 to $350,000","x-skills-required":["machine learning","data science","statistical modelling","predictive analytics","model development"],"x-skills-preferred":["leadership","communication","stakeholder management","coaching","mentoring"],"x-benefits":["health_insurance","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-11-02T01:36:09.619Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NY NYC - 55 WATER ST 35 HRS"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Finance","skills":"machine learning, data science, statistical modelling, predictive analytics, model development, leadership, communication, stakeholder management, coaching, mentoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177036,"maxValue":350000,"unitText":"YEAR"}}}]}