Homeprotect Home Insurance on cord

Homeprotect Home Insurance

Senior Pricing Data Scientist

External position
New Malden, UK
Hiring internally for Homeprotect Home Insurance?
Insurance · InsurTech
We're expert at insuring people who want to build or buy a unique property, renovate, rent a home or leave it unoccupied
Posted
6 days ago
Checked
cord regularly checks that external positions are still open
12 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Python, Machine Learning
Other skills considered: Data Analysis, SQL

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 4 remote days p/w)
Visa sponsorship: Not available

Job Description

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:


Responsibilities

  • 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

Company Benefits

  • 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
  • Discounted home insurance for you, your friends and your 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!
  • Life insurance
  • Annual discretionary bonus scheme
  • Pension contribution
  • Free fruit and really good coffee for the days you come into the office
  • Local and national retail discounts
  • 25 days’ holiday (plus bank holidays) and the ability to buy and sell >5 days annually
  • Private medical cover
Senior Pricing Data Scientist at Homeprotect Home Insurance
Position posted 6 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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