Data Scientist - City of London, United Kingdom - Lutine Bell

Tom O´Connor

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Tom O´Connor

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Description

Data Scientist, EMEA

Responsibilities

  • 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.
  • Handson 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.

Qualifications:


Desirable 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 multitask & plan
  • Chubb is a fastpaced environment
  • Hungry for knowledge to enable personal develop and keep up with new developments
  • Communicates effectively to ensure stakeholder buyin and ability to operate within cross functional teams.

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