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.