Household - Data Scientist

Acorn Group
Liverpool
1 week ago
Create job alert

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

FMCG Data Analyst & National Accounts (Training Path)

Head of Data Engineering

Data Analyst

Commercial Data Analyst & National Account Manager (Training Pathway)

Data Analyst

NLP / Machine Learning Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.