Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
About the role
- Leading data-driven transformation at Collinson as Head of Data Science. Defining data science strategy and building high-performing teams for innovative analytics solutions.
Responsibilities
- Define and own the enterprise data science strategy and roadmap.
- Collaborate with senior stakeholders across product, technology, and commercial teams to align data science with strategic priorities.
- Build and lead a high-performing data science team focused on innovation, rigor, and measurable outcomes.
- Champion a culture of experimentation, causal inference, and evidence-based decision-making (A/B testing, uplift modelling).
- Deliver robust machine learning and analytics solutions across domains like customer personalisation, predictive forecasting, fraud detection, customer lifetime value and churn prediction.
- Partner closely with Data Engineering and Platform teams to ensure seamless delivery, high-quality pipelines, and scalable deployments.
- Embed best practices in data ethics, privacy, and regulatory compliance.
Requirements
- Proven success leading large-scale data science initiatives in a commercial setting.
- Expertise in applied machine learning, predictive modelling, experimentation, and statistical analysis.
- Demonstrated ability to deploy and maintain production-grade models at scale.
- Experience managing and developing high-performing teams in fast-paced environments.
- Strong communication and stakeholder engagement skills — comfortable presenting to C-level audiences.
- Hands-on proficiency with modern data science tools, languages (e.g. Python, SQL), and cloud platforms.
- Familiarity with data contracts, feature stores, and real-time/streaming analytics (desirable).
- Understanding of lakehouse architectures and modern data platforms (desirable).
- Experience enabling AI-driven product capabilities or personalisation strategies (desirable).
Benefits
- Collaborative work environment
- Opportunities for professional development
- Flexible working arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
JJ
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