Data Science Analyst

Our client, a well-established and actively expanding Lloyd's Syndicate Insurance firm, is seeking a Data Analyst with an interest in Data Science to join an expanding team in an expanding business that put Data Science, Machine Learning as a priority.

The ideal candidate will have proven experience with the modelling of Data, strong interest or experience with Data Science and/or Machine Learning and be proficient with SQL, Python and R from a technical perspective.

THE ROLE:

• The person in this role will play a key part in implementing the business and data modelling strategies to help achieve the company’s financial goals.
  
  
• You will assist in developing data models and generating valuable insights to support the management of schemes and brokers across various products, while also contributing to pricing development and the pricing cycle.
  
  
• The ideal candidate will bring expertise in advanced modeling and data science techniques, applying them as needed to meet specific project requirements.
  
  
• To succeed in this role, strong collaboration with different business functions is essential to ensure the company’s resources are used effectively to achieve financial targets.
  
  RESPONSIBILITIES:
  
  
• Apply advanced actuarial and data science methods to develop new pricing models and improve existing ones.
  
  
• Collaborate with different business areas to ensure pricing changes align with product goals and overall objectives.
  
  
• Analyze data to track and evaluate product performance.
  
  
• Ensure timely delivery of projects by completing tasks within set deadlines and maintaining high-quality standards.
  
  
• Work with management to align activities with the company’s strategy and broader business goals.
  
  
• Contribute to the development of management information (MI) and reporting processes.
  
  
• Assist in creating a robust change control process, supporting the deployment team in designing and executing effective change testing to enhance accuracy and manage risk.
  
  
• Support the design, upkeep, and improvement of databases to boost data quality and analytical value, including researching and integrating new data sources.
  
  
• Identify data integrity issues and escalate them through appropriate channels.
  
  
• Continuously develop skills through on-the-job learning, industry events, online courses, and other external learning opportunities. Stay updated on the latest trends in data science and pricing methodologies within and beyond the insurance sector.
  
  
• Ensure compliance with legal and regulatory requirements, as well as the company’s pricing governance framework.
  
  SKILLS / EXPERIENCE REQUIRED:
  
  
• Proficient in data manipulation and statistical tools such as R, Python, SAS, EMBlem, RADAR, Excel/VBA, and SQL Server.
  
  
• Skilled in analysing data to support effective strategies for various propositions.
  
  
• Experienced in managing complex datasets and applying structured analytical methods.
  
  
• Strong commercial awareness, using business insights to drive profitability.
  
  
• Contributes to overseeing the financial performance of a wide range of products in a competitive and dynamic market.
  
  
• Capable of creating clear, insightful visualizations of large and complex datasets using tools like Power BI.
  
  
• A logical thinker, able to evaluate and develop multiple problem-solving approaches.
  
  
• Innovative and creative in reviewing and enhancing processes
  
  
• Strong communication skills, including effective presentation abilities