Lead Data Science and Pricing

Experience in actuarial modelling, particularly within re / insurance pricing

• Experience supporting junior data scientists
• Experience in prioritisation of tasks based on deliverables and context
switching
• Experience developing and encouraging data science best practices and up-

to-date methods
• Experience working within an Agile framework and using associated project
management tools

• Firm grasp of both probability, statistics and other mathematical principles
• Proven expertise in solving business problems using methods including
process mining, sentiment analysis, cluster analysis and big data analytics
• Proven experience in Data Science including usage of XG Boost, MLflow,
Scikit-Learn, Bayesian Optimisation
• Experience in NLP, Spacy (create custom name entity recognition),
HuggingFace (LLM)
• Expertise in SQL, Python, Spark, R, geopandas,PyTorch
• Strong background in re / insurance
• Ability to advise on advanced analytics including ML and AI, process mining,
big data analytics and support effective peer review