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Data Scientist

Job LocationCity of London
EducationNot Mentioned
Salary60,000 - 80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Data Scientist, EMEAResponsibilities

  • Developing and delivering advanced machine learning, analytical and optimization techniques to solve business problems.
  • Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation:
    • Developing queries to extract modelling data from our warehouses, creative data exploration and feature engineering.
    • Building, enhancing and assembling machine learning and statistical models to predict losses and customer behavior to improve our pricing or drive sales.
    • Using and developing algorithms to deliver new optimizations and tests.
  • Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given model or analysis.
  • Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
Required experience
  • Undergrad in quantitative discipline ( eg. analytics, mathematics, statistics, engineering, economics)
  • 3+ years work experience in an analytical, modelling or data science role with programming experience in Python required.
  • SQL and experience working with large or complex datasets.
  • Extensive experience of multiple statistical methods, tools and language e.g Python, R, etc.
  • Hands-on experience with building and developing GLMs and machine learning models.
  • Experience with version control, automation tools and ML Ops based deployment.
  • Be a fast learner to understand our business, its value drivers and the data it generates.
  • Have a customer focus to both spot profit opportunities and do the right thing.
  • Think creatively to master and combine machine learning and statistical approaches.
  • Document your work, build pipelines to automate and teach others how to maintain it.
QualificationsDesirable experience
  • Experience in insurance, or financial industries is preferred.
  • Insurance industry/actuarial experience
  • Experience with Spark and knowledge of advanced machine learning techniques and frameworks
Personal Attributes
  • Creative thinker and problem solver - there are always new challenges
  • Cares about the detail - as small errors can have big impacts
  • Organised and able to multi-task & plan - Chubb is a fast-paced environment
  • Hungry for knowledge - to enable personal develop and keep up with new developments
  • Communicates effectively - to ensure stakeholder buy-in and ability to operate within cross functional teams.

Keyskills :
DataMachine LearningPythonSQLGLM

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