Senior Data Scientist - Ascot Group : Job Details

Join to apply for the Senior Data Scientist role at Ascot Group

Get AI-powered advice on this job and more exclusive features.

This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.

Designed as a modern-era company operating through an ecosystem of interconnected global platforms, we're bound by a common mission: One Ascot. Our strength lies in a talented team that thrives in a collaborative, inclusive, and entrepreneurial culture, committed to underwriting excellence, integrity, and innovation — The Ascot Way.

The Ascot Way guides our people and organization. Our platforms collaborate to deploy capital creatively through our Fusion Model: Client Centric, Risk Centric, Technology Centric. Built to be resilient, Ascot maximizes client security while delivering bespoke products and world-class service, both pre- and post-claims. We aim to solve our clients' brightest tomorrow through agility, collaboration, resilience, and discipline.

Ascot Group, a leading commercial insurance company, seeks a highly skilled Senior Data Scientist for our AI team. The role involves developing advanced data analysis, machine learning techniques, and LLMs to drive innovation, efficiency, and decision-making. The position may be hybrid in-office/remote.

• Conduct complex data analysis, build predictive models, and identify trends to enhance underwriting and risk assessment.
• Develop and deploy machine learning algorithms to automate processes and improve operational efficiency.
• Leverage large language models to automate document intake, customer/employee interactions, streamline claims, and improve risk evaluations.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Stay updated on AI advancements and apply them to insurance applications; develop insurance process expertise.
• Ensure data quality, integrity, and security with large datasets.
• Communicate insights and recommendations effectively to senior management and stakeholders.
• Support additional ad hoc projects as needed.

• Bachelor's degree required; Master's or Ph.D. preferred in Data Science, Computer Science, Statistics, or related field.
• 5+ years of experience in data science, focusing on AI, machine learning, and LLM integration.
• Proficiency in Python, R, SQL; experience with TensorFlow, PyTorch, scikit-learn, Azure, Databricks is a plus.
• Strong analytical and problem-solving skills; ability to interpret complex data and generate insights.
• Experience in financial services industry desirable.
• Excellent communication skills to convey technical info to non-technical stakeholders.
• Team-oriented, positive, self-motivated, with strong interpersonal skills.

Salary range in NY metro: $165,000 - $185,000.

Includes health, welfare, leave, retirement benefits, and more, with eligibility requirements.

• Seniority level: Mid-Senior
• Employment type: Full-time
• Job function: Engineering and IT
• Industry: Insurance