Household - Data Scientist in London

Household - Data Scientist in London

London Full-Time 50000 - 65000 £ / year (est.) No working from home possible
The Acorn Group

At a Glance

  • Tasks: Conduct data analyses and shape pricing strategies for a rapidly growing home insurance business.
  • Company: Join a fast-growing insurance group with a can-do culture and innovative approach.
  • Benefits: Enjoy up to 35 days holiday, mental health support, and flexible working options.
  • Other info: Inclusive workplace committed to mental health, diversity, and career development.
  • Why this job: Make a real impact in a dynamic environment with significant growth potential.
  • Qualifications: Experience in personal lines insurance pricing and strong analytical skills required.

The predicted salary is between 50000 - 65000 £ per year.

The Acorn Group is a fast-growing insurance business. 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.

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.
  • 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:

  • Maximum 35 days’ holiday (depending on role and tenure) including bank holidays, with additional buy/sell options.
  • 24/7 mental health support and free counselling available.
  • Flexible benefits, including early access to salary via our internal platform.
  • Hybrid working options to support work-life balance and individual needs.

Commitments to Colleagues:

  • 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.
  • Great Places to Work 2024/25 – fostering an engaging and positive workplace culture.

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.
  • 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.

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.

Household - Data Scientist in London employer: The Acorn Group

The Acorn Group is an exceptional employer, offering a dynamic work environment in the heart of Liverpool City Centre or London, where innovation and collaboration thrive. With a strong commitment to employee wellbeing, including up to 35 days of holiday, flexible working options, and comprehensive mental health support, the company fosters a culture that prioritises personal and professional growth. As a rapidly growing scale-up in the insurance sector, Acorn provides unique opportunities for talented individuals to make a significant impact while enjoying a supportive and inclusive workplace.

The Acorn Group

Contact Details:

The Acorn Group Recruitment Team

We think you need these skills to ace Household - Data Scientist in London

Data Analysis
Statistical Understanding
Machine Learning
Python
SQL
Pricing Strategy
Commercial Pragmatism