Technical Pricing Manager / Senior Data Scientist - Home Insurance

To build upon the foundations and early successes of the recently formed Home team we are looking for an experienced Technical Pricing Manager / Senior Data Scientist with strong programming skills and a passion for data. This candidate will fuel our ongoing development of the technical models that are critical to the next stage of our commercial agenda.

As a Technical Pricing Manager / Senior Data Scientist in the Home Underwriting team, you will be reporting to the Home AnDS lead, working closely with the Data, Analytical and ML Engineering teams. You will play a pivotal role in the development and deployment of machine learning models and data science solutions to extract the crucial predictive insight that underpins all our technical pricing and helps maintain our competitive edge. You will provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data‑driven innovation.

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• Develop, analyse and oversee the implementation of advanced statistical and machine learning models into live pricing.
  
• Develop tools and solutions to support the management of our risk portfolio.
  
• Stretch the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies.
  
• Work cross‑functionally with the wider Underwriting team to develop the Home data landscape.
  
• Engineer powerful new features to be deployed into our pricing algorithms.
  
• Advocate for data science and software development best practices.
  
• Engage commercial stakeholders to gather detailed business requirements and coordinate project activities.
  
• Prove a track record of delivering commercial value using supervised machine learning techniques.
  
• Advanced Python programmer with expertise in data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit‑learn).
  
• Advanced knowledge of data science technologies, tooling and platforms.
  
• Proficient in SQL.
  
• Proficient with Git.
  
• Ability to drive projects from initiation to completion.
  
• Keen interest in emerging Machine Learning techniques.
  
• Desirable: Experience with Cloud deployments (e.g. Azure, AWS, GCP).
  

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• Competitive salary and £5k car allowance.
  
• Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss details.
  
• Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus.
  
• Physical wellbeing – private medical insurance (PMI) for Band 4 colleagues.
  
• Financial wellbeing – 4x your salary life assurance cover, income protection at no extra cost, matched pension contributions up to 10%, discounts, cashback, free independent mortgage advice and free access to financial wellbeing support.
  
• Mental wellbeing programme – the Thrive mental health app, colleague assistance programme available 24/7, in‑house mental health first aiders, support groups and a dedicated team to cover your needs.
  
• 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks.
  
• Access to health care cash back plans, dental plans, discounted health assessments, cycle‑to‑work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more.
  

We call it the 4Cs – we focus on getting it right for our colleagues, customers, company and community. As a Disability Confident employer, we are committed to ensuring our recruitment processes are fully inclusive – what this means is if you're applying for a job with us, you have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme.

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please note that we have a thorough referencing process, which includes credit and criminal record checks.