Chief Data Science & AI Strategy

Aegistech; New York (NY); On-site; USD 190,000 - 240,000; Full time

Job summary

Enterprise Solutions (ES) Technology is seeking a senior data scientist leader to define and lead the AI/ML and applied data science roadmap across a regulated global financial-services environment.

You will design, build, and operate production-grade models for anomaly detection, forecasting, and behavioral signals, owning the full lifecycle from framing to deployment and monitoring, while collaborating with engineering and business teams to deliver measurable outcomes.

Qualifications

• 25+ years of analytics, data science and ML experience in regulated environments.
• Expertise across statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation.
• Hands-on with data, code, ML frameworks and cross-functional collaboration.
• Proven ability to deliver scalable, explainable AI/ML solutions that meet regulatory requirements.

Responsibilities

• Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions in a regulated financial-services environment.
• Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, and behavioral signals.
• Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, to incident response.
• Partner with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable outcomes.
• Act as a hands-on technical authority, reviewing models, guiding senior practitioners, improving data quality and monitoring standards.
• Gain exposure to senior technology leaders and regulated AI/ML practices in global enterprise-scale transformation.

Skills

Analytics

Data science

Machine learning

Statistical modelling

Predictive analytics

Model deployment

Monitoring

Tools

ML frameworks

Job description

Enterprise Solutions (ES) Technology is seeking a senior data scientist leader to define and lead the AI/ML and applied data science roadmap across a regulated global financial-services environment.

You will design, build, and operate production-grade models for anomaly detection, forecasting, and behavioral signals, owning the full lifecycle from framing to deployment and monitoring, while collaborating with engineering and business teams to deliver measurable outcomes.