Data Scientist
QBE Insurance
GBR, London
3d ago

Who We Are :

QBE’s European Operations, which accounts for over 27% of QBE Group turnover, is a leading specialist in London market and European commercial lines business.

Active in both the Lloyd’s and company market, QBE offers considerable diversity to the broking community. We are a socially responsible company and give our customers the ability to invest a portion of their premiums in environmentally and socially beneficial projects.

The Opportunity :

We are currently recruiting a Data Scientist to join the Claims Innovation Team who serve as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling.

The individual will work in close partnership with Claims Innovation Hub Manager and Data Science Product Manager to size analytical opportunities and delivery plan to ensure a positive commercial return against investments made.

Flexible Location London, Chelmsford or Leeds.

Your responsibilities for this role may include, but are not limited to :

  • Leverage or develop and implement analytical models to identify fraud, drive recoveries and renewals, drive profitable growth, improve underwriting, pricing and claims performance
  • Assist in the development of commercial propositions involving the use of analytics within insurance core function through own analysis, prior experience, research and development
  • Work with Senior Data Scientist to develop QBE’s OCR strategy and capabilities, and work with Claims stakeholders to form and work through a backlog of use cases in this area.
  • Work with IM specialist to identify and classify new feature sets, explore machine learning algorithms to extract new feature sets
  • Work with relevant teams to build and put models into production, quantify and analyze model performance; guide and oversee model refreshing requirements
  • Lead analytical conversation with business around the art of the possible using data science , explore data from a modelling perspective, perform initial EDA to assess business value
  • Implement fit-for-purpose analytics tools and infrastructure that will be used by the end user (e.g. claims handler) and contribute to Information Technology strategy
  • Positively promote the department, division and company as a whole, in order to maximize brand leverage and develop team profile
  • Build analytical application designs and prototype to test out idea and drive innovation and prototyping in an agile framework
  • Manage analytical projects and coordinate activities with other shared service partners by prioritizing relevant activities and providing subject matter expertise
  • Undertake personal development to ensure up to date skills and knowledge
  • Act as a point of reference to guide and advise junior members of the team to ensure sharing of knowledge and best practice
  • Contribute to a positive environment by demonstrating cultural expectations and guiding leaders to reward performance and value can do people, accountability, diversity and inclusion, flexibility, continuous improvement, collaboration, creativity and fun
  • Adopt QBE values in personal work behaviors, decision making, contributions and interpersonal interactions; manage own career development by soliciting feedback and valuing other perspectives
  • You will need to be able to display you have the following qualifications and experience :

  • Strong knowledge of statistical / data mining methods and application in a business environment
  • Good understanding of Data Science domain, statistical and analytical model development and implementations, proficient in natural language processing and machine learning techniques and related disciplines
  • Good understanding of data modelling techniques, tools / language R, Scala, Python, SAS etc.
  • Good knowledge of visualization tools like PowerBI, Tableau etc.
  • Strong project management, collaboration and communication skills
  • Ability to apply logic and reasoning to identify solutions to complex business problems and implement solutions
  • Business and financial acumen and curiosity to learn and keep up with market trends and innovations
  • Ability to lead, manage and motivate a cross-functional team, engage and influence stakeholders at all levels
  • Strong written and verbal communication skills
  • At QBE, we view our people as our most precious asset. We understand the importance of fostering a work environment that is responsive to the changing needs of today's workforce.

    QBE aims to build a workplace that is fair and inclusive because we want to attract and retain the best people to do the job.

    We’re Happy to talk Flexible Working’

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