4 of 4 Decision Tree Jobs in the South East

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

of data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Communicate results to key decision makers across the business for action based on the results of pricing analysis Review observed & expected performance of key accounts Collaborate with peers in pricing, underwriting and data science … team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯

of data science & statistical techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Communicate results to key decision makers across the business for action based on the results of pricing analysis Review observed & expected performance of key accounts Collaborate with peers in pricing, underwriting and data science … team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯

party data. Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation. Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies. Build feedback loops from casework to inform product, engineering, and policy improvements. Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and … investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment. Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact. Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks. Have a track record of scaling operations More ❯