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  • Emplois similaires à : Pricing Data Scientist - Household
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Pricing Data Scientist - HouseholdAcorn Group • Liverpool, England, United Kingdom
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Pricing Data Scientist - Household

Acorn Group
  • GB
    Liverpool, England, United Kingdom
  • GB
    Liverpool, England, United Kingdom
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À propos

The Acorn Group is a fast-growing insurance business. A best kept secret to many in the market - it operates with a fast-decision making culture and can-do attitude. The group consists of Acorn (broker), Granite (MGA and wholesale), Haven (underwriter) and this integrated model is a huge strength in the specialist market.
Its core products are specialist private car, taxi, commercial vehicles, and telematics, with the Group also including a number of start-up and scale-up businesses, including a specialist home insurance business. With £750m+ GWP today and better returns than the market, it is establishing itself as the leading specialist motor insurance business in the UK and has plans to replicate this success within the home insurance market.
Launched in 2017, Acorn’s Home Insurance business is a rapidly growing scale-up business, with c.50k customers and c.£15m GWP currently, and a history of profitability despite small scale and recent growth rates. The Home business has a huge amount of untapped potential, with a recently appointed General Manager and significant investment in the business, including its tech platforms, planned over the next 12 months and beyond.
We are looking for a talented Pricing professional to join our growing Home team. Reporting to the Household General Manager, this role represents a substantial opportunity for an enthusiastic and bright pricing expert at a senior analyst or junior manager level to step into a role where they are encouraged to take substantial ownership of analyses and help to shape the pricing structure of the product.
If you’re looking for a company with a strong culture, real career progression, and a people‑first approach — all rooted in the heart of Liverpool — Grow with Acorn.
At Acorn Insurance, we’re proud of our Liverpool roots — and even prouder of how far we’ve come. As part of the Acorn Group, we bring over 40 years of specialist insurance expertise to the table. From humble beginnings, we’ve grown into a national leader, now employing 1,700+ people across the UK and reached a milestone £750 million in total value of insurance policies written in 2024.
Job Title Pricing Data Scientist
Location Liverpool City Centre OR London
Salary £Competitive Depending on experience
Working hours 37.5 hours per week, Monday to Friday
What you will be doing
Producing rigorous analyses for the Home General Manager, produced to a high standard and requiring only light-touch technical review.
Proactively making recommendations for rating action and further steps based on own observations from analyses and wider business and technical understanding.
Understanding and presenting the most relevant views from the data analysed, given the relevant context and brief from stakeholders.
Conducting all elements of the role with commercial pragmatism in mind, including:
Understanding and presenting the most relevant views and metrics from analysis with minimal additional prompting.
Balancing technical best practice with speed to market and trading conditions considerations.
Prioritise competing directions effectively based on likely additional value provided to the business.
Collaborating proactively with the MI and Database teams to enhance the suite of BAU views and data available to understand and maintain the Home product.
What we are looking for
Insightful, curious, and concise – prioritises understanding and cuts to the heart of the issue.
Level-headed and pragmatic; solutions‑minded with an eye for nuance and detail.
Natural desire to act at pace and use initiative while maintaining high standards.
Background in personal lines insurance pricing; experience of multiple aspects (risk, demand, market/street pricing, expenses), the UK market, and specific Household experience are both advantages.
Technically capable, with strong statistical understanding and experience of leveraging machine learning for production and analysis. Python and SQL experience are both beneficial.
Excellent pattern recognition with proven ability to deduce why a pattern is occurring.
High-level bachelor’s degree in a numerate discipline or evidence of equivalent proficiency by experience.
Benefits
A maximum of 35 days’ holiday (depending on role and tenure) including bank holidays, with additional buy/sell options
24/7 mental health support & free counselling available
☝ Grow with us: Through career fairs, leadership programs, and learning on the go!
Flexible benefits, including early access to salary via our internal platform
Hybrid working options to support work‑life balance and individual needs
Recognition awards, social events & more
Our Commitment to our colleague’s
Mindful Employer – championing mental health and wellbeing
♿ Disability Confident Level 1 & 2 – creating accessible, inclusive opportunities
Menopause Friendly accredited – supporting every stage of life
️ Armed Forces Covenant signatory – honouring those who serve
️ Armed Forces Defence employer recognition scheme - Supporting those who serve
Great Places to Work 2024/25 – fostering an engaging and positive workplace culture
Best Place to Work for Development – proud to be investing in people’s future
Best Place to Work for Women – breaking down barriers to women's career progression
A Few Things to Know Before You Apply If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check.
Visa Requirements Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we’re not able to offer visa sponsorship.
We’re Here to Support You We’re committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process—or once you’re part of the team—just let us know. Whether it’s flexible hours, adapted equipment, or a bit of extra support, we’ll work with you to make sure you can do your best work.
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  • Liverpool, England, United Kingdom

Compétences linguistiques

  • English
Avis aux utilisateurs

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