A leading Insurance firm is looking to hire a Data Science Manager. The successful candidate will play a critical role in delivering a new Data Transformation project. The holder of this role will have strong data science and programming skills with additional statistical, data manipulation and data analysis capability.

Duties:

• Leads the data science capability of the business which will drive:
• Data cleansing (e.g. matching of premium and claims for delegated business, cause codes).
• Work alongside actuarial team to perform data mining to produce extra insights to be available to underwriters to improve profitability (e.g. partnering with the underwriters to identify profitable micro-market segments).
• Using data science/AI techniques to automate manual tasks across the business (e.g. sanctions checks, fraud monitoring).
• Work with data analysts and actuaries to research, identify, cleanse, analyse, visualise and draw insights from external data sources.
• Work with the Head of Data Analytics and Portfolio Undrwriting supporting the business with proactive analytics and insights.

Key Requirements:

• Expert in data analysis/visualisation techniques
• Programming skills (Python an advantage)
• Working knowledge of some data science techniques
• 2+ years' data analysis/visualisation experience preferably in a Lloyd's environment
• Highly proficient in required IT packages
• Good organisation and planning
• Good written and face to face communication skills
• Experience using Agile methodologies and proven ability to take complex requirements and break them down into epics and technical user stories an advantage
• Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage