What are the responsibilities and job description for the Senior Data Scientist position at Ascot Group?
Job Description
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 operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourish in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve for our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline.
Job Summary
Ascot Group, a leading commercial insurance company, is seeking a highly skilled and experienced Senior Data Scientist to join our AI function. The ideal candidate will be responsible for developing and implementing advanced data analysis, machine learning techniques and LLM’s to drive innovation, efficiency, growth and enhance decision-making processes within the organization. This role may be in the office with a hybrid work schedule.
Responsibilities
Company Benefits
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more
Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
Retirement Benefits: Contributory Savings Plan (401k)
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 operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourish in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve for our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline.
Job Summary
Ascot Group, a leading commercial insurance company, is seeking a highly skilled and experienced Senior Data Scientist to join our AI function. The ideal candidate will be responsible for developing and implementing advanced data analysis, machine learning techniques and LLM’s to drive innovation, efficiency, growth and enhance decision-making processes within the organization. This role may be in the office with a hybrid work schedule.
Responsibilities
- Data Analysis and Modeling: Conduct complex data analysis, build predictive models, and identify trends to improve underwriting processes and risk assessment.
- Machine Learning: Develop and deploy machine learning algorithms and models to automate processes, enhance employee and client experience, and optimize operational efficiency.
- LLM Integration: Harness the power of large language models to automate document intake, customer and employee interactions, streamline claims processes, submission and claims triage and enhance risk evaluations.
- Collaboration: Work closely with cross-functional teams, including actuarial, underwriting, claims, risk management and IT, to integrate AI solutions into existing systems.
- Research and Development: Stay up to date with the latest AI and data science advancements and apply them to commercial insurance applications. Develop a deep acumen of insurance processes and challenges.
- Data Management: Ensure data quality, integrity, and security while managing large datasets.
- Communication: Create and present detailed ideas, insights and visualizations to senior management and stakeholders to communicate findings and recommendations.
- Assist with additional ad hoc projects as required.
- Minimum Bachelor’s degree; preferred Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- 5 plus years of experience in data science, with a focus on AI and machine learning and LLM integration.
- Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn, Azure stack/AI foundry and Databricks experience is a plus.
- Analytical Skills: Strong analytical and problem-solving abilities, with the capacity to interpret complex data and generate actionable insights.
- Industry Experience: Experience within the financial services industry is desirable.
- Communication Skills: Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- Team Player: Collaborative and able to work effectively in a team environment.
- Must be positive, self-motivated, and possess strong interpersonal and communication skills.
Company Benefits
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more
Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
Retirement Benefits: Contributory Savings Plan (401k)
