Pricing & Data Science Manager Salary: Dependent on Experience Location: Salisbury Type of work: Hybrid (guide: 3 days office, 2 working from home) About us: As a leading pet insurance specialist, Tedaisy Insurance Group is dedicated to delivering quality products with exceptional digital customer experiences. We have a passion for pet well-being and are trusted by thousands of dog and cat owners throughout the UK. We’re ambitious, we’re passionate and we’re brave - always looking for ways to grow, improve and be the best we can be About the role: We have been successfully writing business for nearly ten years and are now embarking on a journey to modernise and develop our pricing and analytical strategies. We are currently recruiting for a new Pricing and Data Science department consisting of three. We are looking for a talented, motivated and experienced professional with a strong history in either pricing or data science to manage the team, lead its strategic direction, and make consistent positive impacts with all stakeholders. This is a fantastic opportunity to enhance your career at a growing company in an innovative industry. Key responsibilities: Tedaisy Insurance Group are looking to build a dynamic and complementary team. Tedaisy Insurance Group are looking to build a dynamic and complementary team. The Pricing and Data Science Department, is responsible for leading a team to develop the following: Predictive Modelling: Utilizing Generalized Linear Models (GLMs) and Gradient Boosting Machines (GBMs) to develop predictive models. The tools for modelling and its data preparation are Quantee, Python and SQL. Data Analysis: Analyzing sales volume, business mix, loss ratios, conversion, etc. Presenting Data & Analysis: Creating visual representations of data and results, presenting them and story-telling the reasons behind proposed changes. A/B Testing: Conducting A/B testing of pricing releases, elasticity, product features, and operational processes. Data Reconciliation & Validation: Reconciling and validating data both before it is used in analysis and before results before they are communicated to stakeholders. Championing the accuracy of company data, through rigorous identification issues and proposing smart proportional ways of improving data accuracy. Pricing Algorithm: Building the pricing algorithm in Quantee Reserving: Basic reserving techniques will be built and deployed to calculate the Projected Ultimate Loss Ratio. Management and leadership duties will include: Line management of a graduate pricing analyst and a Senior data scientist. Presenting pricing (and product where data science lead) changes to the capacity provider. In partnership with Executive Leaders, setting the strategy, tactics and future roadmap of the Pricing and Data Science Department to meet company objectives, culture and environment. Regular proactive discussions with internal key stakeholder managers and heads of departments to identify opportunities and ensure that the Pricing and Data Science Department is prioritizing the right projects and having an optimal impact. Communication/Presentation to internal stakeholders of all disciplines and all levels, including the Exec Team. About you: We are seeking someone with: Ideally must have more than five years’ experience in a pricing or data science environment. Prior experience of: Predictive Modelling (GLM, GBM, etc) A/B Testing Data Presentation Python SQL Excel Prior leadership/management experience is essential. Project and stakeholder management skills. End-to-end pricing, product development, data science. Pro-active, can-do attitude. Strong troubleshooting, analytical and problem-solving skills. Strong communication skills. The candidate will have General Insurance (preferably Pet) pricing experience Additional details: Permanent, full-time (Monday - Friday, 9am - 5pm) Salisbury Office based with optional hybrid working pattern 25 days holiday per year Your birthday off (paid) 4 x salary life assurance Company pension Employee Wellbeing up to £500 per year Healthcare, including 24/7 GP advice and a mental health helpline Discounts at hundreds of brands you know and love Employee assistance program Interested? Want to know more? Apply today