Jr. Data Scientist

Location: Flexible
Office Locations: Flexible


Job Title:                     Junior Data Scientist


Division:                     BSS – Data Science


Reports To:                As per Beazley’s organisation chart


Key Relationships:     Data Science, Underwriting and Claims Business Managers, Actuaries, Data Analysts, Data Operations, Robotics, Data Engineering, Data Management, and External Data Providers.


Job Summary:            In 2018, Beazley created a new central Data Science team to accelerate innovation and technology in artificial intelligence and to have firm-wide impact using data science to solve strategic problems. As a specialty insurer, each year Beazley writes $ 3.0 Billion+ in premiums worldwide. We insure everything from Buildings and Vessels to Sporting Events and Satellites. As such, there is a rich problem space for data scientists and engineers across all areas of the business including amongst others: risk selection and pricing, claims, portfolio optimisation, customer analytics, operations. The potential to have large scale impact. Some of the problems you will work on include:

  • Developing behavioural analytics and pricing models for the Marine Hull business.
  • Developing cyber vulnerability scores for commercial risks.
  • Portfolio simulation and optimisation models to provide decision support and scenario testing.
  • Customer analytics to understand our clients’ needs and behaviours and to maximise customer lifetime value.
  • Engineer and develop innovative analytics-ready datasets to provide contextual insights and signals for business applications. Leveraging: open and 3rd party data sources, regex, NLP, NER and entity-resolution, etc, to ingest and extract information from disparate data sources.
  • Apply machine learning and automation to manual repetitive tasks to free people up to work on more complex tasks.


The Data Science team is led by Dr Ben Postance and continues to attract investment and grow. We are looking for several ambitious Data Scientist who are passionate about building, maintaining, and improving, data products that drive and support our business partners. As Data Scientist, you will act as advocate and technical specialist to improve Beazley’s data science and artificial intelligence services and products. You will play a leading role in a multi-discipline, worldwide team of data scientists, engineers, and insurance professionals addressing large scale analytical challenges. As part of this growing team, you will be able to develop innovative solutions, drive conversations with senior stakeholders, and take on responsibilities as they emerge. You should therefore be comfortable with ambiguity and pro-active in your contributions as the team grows and evolves. Our plan is to continue delivering and scaling the team. We are committed to your continued professional development, in both data science skills and business acumen, to attract and retain the data and business leaders of tomorrow.





Key Responsibilities:

  • Core. Supports the Data Science team to develop, implement, maintain, and improve data science, AI, and machine learning services and products across the business.
  • Self-starting. Effectively manages and owns individual project relationships, workloads, and tasks to provide outstanding customer service to our stakeholders.
  • Teamwork. Works effectively with peers in Data Science, the wider technology function, and from across the business to maximise business opportunities and to deliver data-driven insights and change.
  • Communication. Is an excellent verbal and visual communicator. Can articulate and present new insights, complex analysis, and its business implications through well designed reports, presentations, and interactive dashboards.
  • Expertise, knowledge, and continued professional development. You keep informed of the latest and greatest in data science applications and machine learning developments. You might take part in hackathons, personal projects, or be a keen Kaggler. Either way, you are curious and hungry for knowledge. You help us to develop and disseminate best practices and knowledge within the team and Beazley Group.


  • Adopt the Beazley culture of Professionalism, Integrity, Effectiveness and Dynamic attitude that contributes to an internal environment of teamwork and promotes a positive brand image to our external customers.
  • Comply with Beazley procedures, policies and regulations relevant to your role. Undertake relevant training on Beazley policies and procedures as delivered by your line manager, the Talent Management development or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.
  • Comply with any specific responsibilities necessary for your role as outlined by your line manager, the Talent Management development or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, minimum underwriting, claims or other Beazley standards and customer relationship management.
  • Ensure that you uphold the Beazley principle of Treating Customers Fairly.
  • Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include, among others, European Strategy Team, US Management team or membership of any Beazley committees.


Personal Specification:


Education and Qualifications

  • Bachelor’s and above degree education.
  • AND or 1-2 years’ experience in a data centric role.
  • AND or substantial evidence and demonstration of ability and continued professional development (e.g. projects in GitHub, blog, personal website etc)


Skills and Abilities

  • Drive and passion for data and analytics.
  • Strong analytical skills with attention to detail
  • The ability to manage time, meet deadlines and prioritise
  • Stakeholder management and ability to communicate concisely at a number of levels


Knowledge and Experience

  • Experience of applying data science techniques within a commercial environment.
  • Programming experience in Python, R, Matlab C#, Java or similar OOP language
  • General commercial and financial knowledge. Experience in insurance industry a bonus.
  • Strong communication and interpersonal skills. Confidence and adaptability to present to different audiences, technical backgrounds, and seniority,
  • Must have experience and or qualifications in either:
    • Analytics, statistics, mathematics
    • Computer science or machine learning
    • Modern data engineering, software, or web development, with a focus on data analytics or visualisation applications.


Aptitude and Disposition

  • Result focussed, self-motivated, flexible, and enthusiastic
  • Professional approach to interact successfully with managers/ colleagues/ external suppliers
  • Team worker as well as able to work on own initiative



  • Achievement drive
  • Analytical thinking
  • Problem solving
  • Customer focus
  • Self-Starter
  • Team working



This document is subject to review after consultation with your Manager.


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