Senior Pricing Data Scientist

ABOUT HOMEPROTECT

We founded Homeprotect on a simple principle - to provide protection to people underserved by the home insurance industry. We're experts at insuring people who want to build or buy a unique property, renovate, rent a home or leave it unoccupied. We can cover people who travel a lot, run a business from home or even collect rare treasures. We protect people who love living in a listed building, having a view of a river or sunbathing on a flat roof.

We can do this because our smart tech enables our customers to get an instant, online quote to cover a huge range of complex needs and our UK customer support teams are on hand to provide information and support when only a real person will do.

Our insurance has already empowered hundreds of thousands of people to protect their homes and the things they love. But we\'re not content with being the leading provider of what\'s called \'non-standard\' insurance. We believe there\'s no such thing as \'standard\'. We\'re all unique and we all deserve home insurance designed with our individual needs in mind - something our combination of real people and smart tech enables us to do.

Our simple promise? Whoever you are and wherever you live, with Homeprotect we\'ve got you covered.

Our customers come from all walks of life and so do our people. We\'re a small but perfectly formed team, made up of insurance industry specialists alongside a diverse mix of technologists, data scientists and customer and marketing champions from all sorts of industries and backgrounds. We all bring our individual expertise, an appetite for innovation and a shared ambition to empower people to protect their homes and the things that they love.

Working in a fast-paced environment where change happens regularly is how we do things. But we also recognise that you\'ll do your best work when you have the right balance, and that\'s why we have fully embraced hybrid working giving our teams the flexibility to choose the right location and working hours for them. We prefer to focus on the outputs of their work, not where they complete it. That said, there will be times when getting together in one location makes sense, but day-to-day, our teams have the freedom to decide where to work and we trust that they\'ll make the right decision balancing the business needs and their own preferences.

Most companies think their culture is great, however at Homeprotect, we have the proof to back this up. We have been recognised externally as a Great Place to Work for the last six consecutive years.

Sound good? Read on to find out more about joining our team...

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• Your main responsibility will be to continuously improve and innovate conversion and Life-Time Value (LTV) models used within the retail pricing team. The overall aim is to set the optimal commissions/prices that maximise sold LTV for every individual customer and reduce money left on the table.
  
• Your models will be the source of truth when it comes to understanding our position in the market and will be used to select the level of profitability vs sales share we aim for each price deployment.
  
• You will work with a completely customisable pricing system (built, managed and maintained in house, in Python) meaning data, pricing rules, models and logic can all be changed and tested by the retail pricing team with no Developer involvement. As such you are encouraged to try out new innovative ideas that other companies are not able to implement due to their rigid systems.
  
• As well as being responsible for conversion rate and elasticity models, you will also be responsible for the maintenance and improvement of our market premium models - the most influential feature within our conversion rate models. As we have a number of external market premium data sets, you will be tasked with identifying the best structure of how to use these data sets/model(s) within our modelling ecosystem.
  
• This role will:
  

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• Be instrumental to the growth of the business using data to develop and optimise a variety of strategies in the retail pricing space.
  
• Collaborate closely with the Retail and Technical pricing teams to determine better positions in the market.
  
• Be very technical with most of your time spent improving and innovating using Python.
  

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• 4+ years experience working in personal lines home insurance pricing.
  
• A specialism in conversion rate modelling and market modelling is desired.
  
• Knowledge of market dynamics and elasticity is essential.
  
• High quality numerate degree (Mathematics, Data Science, Physics, Engineering etc.). Degrees from other disciplines will be considered with relevant industry experience.
  
• An understanding of statistics and machine learning best practices.
  
• Competent using Python and its data science ecosystem for data manipulation, data visualization and statistical modelling.
  
• Excellent data manipulation and reporting skills using SQL and MS Excel.
  
• Strong problem-solving skills: able to effectively analyse new situations, and to suggest and implement pragmatic solutions.
  

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• A genuinely flexible approach to work. We are really supportive of you flexing your hours and location to help you keep everything in your life in balance.
  
• Opportunities to focus on your professional growth whether that\'s through training or other personal development opportunities - we want you to build your long-term career with us.
  
• Home insurance with Homeprotect at 50% discount for all employees and 15% for friends and family.
  
• An in-house wellbeing programme including seminars and workshops from wellbeing coaches and professionals.
  
• Home working starter kit and money to spend on additional equipment you may need.
  
• Charitable giving scheme, so you can donate to our partner charity, or one of your choice.
  
• The opportunity to work alongside brilliant people, because this isn\'t something that every organisation can offer!
  

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• 25 days\' holiday (plus bank holidays) and the ability to buy and sell >5 days annually.
  
• Private Health Care with 24-hour, 7-day access to range of doctors and counsellors.
  
• Life insurance which provides cover to the value of four times your salary.
  
• Annual discretionary bonus scheme (up to 20%).
  
• Pension contribution.
  
• Free fruit and really good coffee for the days you come into the office and also occasional brunches to connect and bond with colleagues over food.
  
• Local and national retail discounts .