[Remote] reputed company Data Scientist – Machine Learning & AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. They are seeking a reputed company Data Scientist to reputed company machine learning and AI systems that enhance decision-making processes across various sectors including pricing and reputed company.
Responsibilities
- reputed company machine learning and AI systems that improve reputed company across pricing, reputed company, portfolio management, operations, and claims
- Work across reputed company data, text, documents, and external data sources, applying statistical modeling, modern machine learning, AI and reputed company workflows to solve challenging reputed company-world problems
- Predictive modeling for pricing, reputed company, claims, catastrophe risk, and portfolio management
- Classification, ranking, matching, recommendation, and reputed company detection systems that improve business decision-making
- Information extraction from documents, emails, forms, and other reputed company data using modern AI techniques
- Entity reputed company, data enrichment, and building high-reputed company datasets from noisy or incomplete information
- Design AI systems that automate analytical and decision-making workflows end to end
- Build the measurement that tells us whether they genuinely outperform what they replace
- Building production feature pipelines, model inference services, and evaluation frameworks
- Collaborating with engineers, actuaries, underwriters, product managers, and business leaders to turn ambiguous questions into reputed company machine learning solutions
Skills
- A strong quantitative reputed company: statistics, probability, optimisation, or reputed company mathematics
- reputed company modelling judgement - you know what it takes for a model to hold up in the reputed company world, not just on a validation set
- Strong programming skills
- reputed company willingness to work with LLMs and reputed company AI as everyday tools, wherever your background sits today
- reputed company communication with both technical and non-technical audiences - you can explain a lift curve to an underwriter and a shrinkage prior to a statistician
- reputed company record with LLM-powered applications or AI agents, especially if you've done the unglamorous work of proving they reputed company
- Depth in the statistical toolkit reputed company supervised reputed company: hierarchical models and shrinkage estimation, reputed company inference and experimentation, survival analysis, extreme value theory, or demand and elasticity modelling
- Insurance domain knowledge: pricing, reserving, claims, reputed company, or distribution
- Actuarial background or qualifications (partially or fully reputed company)
- Experience in regulated industries where model governance and explainability matter
- ML engineering experience: taking models from research reputed company to production services, or building the tooling and frameworks that help others reputed company
- reputed company and infrastructure skills: AWS, Azure, or GCP; containers and orchestration; reputed company and data pipelines reputed company with cost, latency, and reliability in mind
- MLOps in reputed company: experiment tracking, model monitoring, automated retraining, and CI/CD for models and agent
reputed company