Senior Pricing Data Scientist
Homeprotect Greater London, England, United Kingdom
Insurance · 51-200 employees
About the role
The role involves continuously improving conversion rate and market models to optimize retail pricing and maximize customer lifetime value. You will collaborate with the trading team to develop pricing strategies and utilize Python to test and implement custom pricing logic.
What they look for
Requirements
Candidates must have 4+ years of experience in personal lines insurance pricing and a strong background in conversion and market modelling. Proficiency in Python, SQL, and statistical modelling is essential, along with a numerate degree.
Benefits
Full description
ABOUT HOMEPROTECT
Cover for Almost every Home
We founded Homeprotect on a simple principle - to provide protection to people underserved by the home insurance industry. Since 2002, we've been combining smart technology with real human expertise to protect hundreds of thousands of unique homes across the UK, and we're just getting started.
If you're someone who loves solving interesting problems, taking ownership and working with a team that aims high, speaks up and lifts each other, Homeprotect is a place where you can do meaningful work, grow your career and make a real difference for our customers.
What It's Like to Work Here
Our customers come from all walks of life and so do our people. We're a small but perfectly formed team of insurance specialists, technologists, data scientists and customer champions - all bringing individual expertise, an appetite for innovation and a shared ambition to protect the homes and things people love.
We work at pace, but we trust our people to work in a way that brings out their best. You'll collaborate closely across teams, have real ownership from day one and see the impact you have first-hand with flexible working to help you balance the needs of your role with the rhythm of your life.
We've been recognised as a Great Place to Work UK for seven consecutive years - most recently ranked 29th nationally, jumping 71 places in a single year.
ROLE PURPOSE
Your main responsibility will be to continuously improve and innovate conversion rate and market models used within the Retail Pricing team. The overall aim is to set the optimal commissions/prices that maximise sold Lifetime Value (LTV) for every individual customer and reduce money left on the table.
For modelling conversion and price elasticity, we have a range of models that work together to try to predict the likelihood of a customer to sell at a variety of different price points. We have our own innovative approaches here, and hope you can help us to improve further.
For market modelling, we have a number of external market premium data sets. You will be tasked with identifying the best structure for how to use these data sets/models within our modelling ecosystem
Overall, 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 custom ideas that other companies are not able to implement due to their rigid systems.
This role will:
- 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 Trading team to determine better positions in the market
- Be very technical with most of your time spent developing, experimenting, and analysing using Python
KNOWLEDGE, SKILLS & EXPERIENCE
- 4+ years experience working in personal lines 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, and enthusiastic about developing further
- 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
BENEFITS
We want you to feel rewarded, supported and set up to thrive throughout your career with us.
Learning and Growth: We invest in your development through structured learning, mentoring, buddying, on-the-job experience and cross-functional projects. We support role-relevant professional qualifications where they'll make the biggest difference, and our Lunch and Learn sessions to help you stay connected to what’s going on right across the business.
Health and Wellbeing: Your wellbeing matters here. We offer private healthcare through BUPA, an Employee Assistance Programme covering legal, financial and counselling support for you, a Wellbeing Centre with online tools and resources, regular wellbeing seminars and workshops, annual flu jabs and an annual eye care voucher.
Financial Security and Reward: We offer an annual discretionary bonus scheme upto 30% of your base pay, life insurance at four times your salary, and a pension with Aegon. You'll also receive a significant discount on Homeprotect home insurance - with a friends and family discount too, and a staff referral bonus when someone you recommend joins the team.
Time Off: 25 days' annual leave plus bank holidays, with the option to buy or sell up to five additional days each year.
Genuine Flexible Working We trust our people to work in a way that best suits them - with flexible working to balance the needs of your role with the rhythm of your life. We ask that everyone comes into the office at least once a week, as we believe in-person connection is important for collaboration, culture and building great relationships. You'll receive a homeworking starter kit from day one and can claim towards additional home office equipment within your first six months.
Purpose and Community: We care about more than just the work. Through our charity partnership with Refuge, the UK's largest specialist domestic abuse charity and regular social, wellbeing and charitable events throughout the year, there are plenty of ways to connect, give back and feel part of something bigger.
UNIQUE AS STANDARD
We're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. We believe in celebrating difference - everything that makes both our customers and our people unique. We consider visa sponsorship on a case by case basis for the right candidate, so please don't let that stop you from applying.
We encourage you to let us know if you need any extra help with your application or have any requirements at any stage of the recruitment journey, we want the process to work for you.
Your data will be maintained in line with our recruitment data privacy policy.
Regulatory Responsibilities
As an FCA regulated insurer, doing the right thing isn't a compliance requirement - it's simply how we work. All colleagues are expected to uphold the FCA Individual Conduct Rules (1–6) and act with integrity, due skill and care, openness with regulators and a genuine commitment to delivering good outcomes for our customers.
You'll work within approved processes and authority limits, keep accurate and auditable records, protect data under UK GDPR and our information security policies, escalate risks and exceptions promptly, report incidents, breaches and any financial crime or sanctions concerns (including via whistleblowing), support vulnerable customers with reasonable adjustments, and complete all mandatory training to maintain competence.
If the role falls within SM&CR, a supplementary document outlining the key regulatory responsibilities will be provided.
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