Lead Pricing Analyst / Lead Data Scientist

Lead Pricing Analyst / Lead Data ScientistSalary: upwards of £55,000 (depending on experience)Location: SalisburyType of work: Hybrid (guide: 3 days office, 2 working from home)About us:As a leading Insurtech specialising in pet insurance, 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 of three people, and are looking for a talented and motivated Lead Pricing Analyst or Lead Data Scientist to be part of that team. Key responsibilities:The exact roles will depend on the skill sets and interests of the successful candidates, as Tedaisy Insurance Group are looking to build a dynamic and complementary team. This senior analytical role will involve many of the following Pricing, Actuarial and Data Science tasks:
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: Analysing 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: Reconciling data between different sources to ensure accuracy and consistency.
Validation: Validating data before it is used in analysis and modelling, and results before they are communicated to stakeholders
Pricing Algorithm: Building the pricing algorithm in Quantee
Reserving: Basic reserving techniques will be built and deployed to calculate the Projected Ultimate Loss Ratio.About you:
Must have several years’ experience in a pricing or data science environment.
Prior experience in most of: Predictive Modelling (GLM, GBM, etc), A/B Testing, Data Presentation, Python, SQL, Excel
2:1 or higher in a mathematical subject.
Data Science and/or Actuarial modules and qualifications are attractive.
Pro-active, can-do attitude.
Strong troubleshooting, analytical and problem-solving skills.
Good communication skills.
Ability to support the Pricing & Data Science Manager and positively affect the department’s standing, impact, and image with all stakeholders.If you are passionate about data science, actuarial science, and pricing analysis, and are eager to apply your knowledge in a practical and impactful way, we would love to hear from you.Additional details:
Permanent, full-time (Monday - Friday, 9am - 5pm)
Salisbury Office based with optional hybrid working pattern
£55,000+ (dependent on experience)
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
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