Our client, an AI-driven startup in the FinTech sector, is hiring a Senior Data Scientist to join the team in New York. The successful candidate will contribute to a blend of high-impact, short-term initiatives and ambitious long-term modelling work that stretches the boundaries of what can be achieved in the insurance industry.


Responsibilities

• Carry out actuarial analyses to forecast insurance costs and claim payouts.

• Apply advanced AI models to granular claims datasets.

• Refine and structure reinsurance transactions to improve efficiency and execution.

• Directly influence multi-million-pound reinsurance deals and present insights to senior industry stakeholders.

• Develop and maintain scalable data and predictive pipelines.

• Build and enhance the core models underpinning their AI platform.

• Contribute to defining best practice for applying AI within insurance at scale.

Skillset

• At least 4 years of relevant professional data science experience.

• A strong foundation in probability, statistics, and machine learning.

• Proficiency in Python and common machine learning libraries (e.g. scikit-learn, XGBoost).

• Familiarity with large language models (LLMs) and their practical applications.

• A genuine interest in solving complex, real-world data problems.

• Previous experience working in a fast-paced startup environment.

Benefits

• Salary: $160k - $200k

Our client, an innovator in the Financial Services industry, are hiring a Data Scientist to join their team in California. The successful candidate will be responsible to work at the intersection of data, engineering and fraud detection, while helping to shape and refine the company’s software as it evolves to stay ahead of increasingly sophisticated cyber-attacks.


Responsibilities

• Own end-to-end development of user-facing product features, from initial concept to full launch.

• Translate research findings into practical, high-impact product enhancements.

• Collaborate and work independently to design, test and refine solutions.

• Adopt a product-first approach, turning analysis into measurable results quickly.

Skillset

• PhD degree in Computer Science, Engineering or similar.

• Minimum of 2 years’ experience working in the data science field.

• Strong interest in software engineering and product development.

• Skilled at translating research insights into real-world solutions.

• Self-motivated with the ability to take ownership of projects and drive them to completion.

Benefits

• Salary: $140k - $170k.

• Remote working options.