Senior Data Scientist

Hastings Insurance Services
Leicester
3 days ago
Create job alert

Job title: Senior Data Scientist


Location: London / Leicester / Bexhill


Welcome to Hastings Direct


We’re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company we’ve made huge investments in our technology pricing data and analytics capabilities over the past few years along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team we’re doing exactly the same building a market‑leading finance technology platform investing in our team and our approach to leadership development with a real focus on commercially adding value to the business.


The fact you’re now reading this job advert means we’ve tempted you to find out more about life at HD. If you like what you see we hope you’ll consider joining our team.


We have high standards and understand some people may not apply for jobs unless they feel they tick every box. If you’re excited about joining us and think you have some of what we are looking for even if you’re not 100% sure we would love to hear from you.


Role overview

The Senior Data Scientist will oversee projects and modelling exercises which deliver cutting‑edge data assets and predictive models that feed into Hastings market‑leading pricing activities. This role is within a combined team of Actuaries and Data Scientists championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer information that traditional modelling techniques cannot.


The Senior Data Scientist will use their understanding of data science techniques to solve insurance problems and to deliver claims cost models. Established traditional techniques but we are looking to leverage advanced ML techniques to maximise commercial value while ensuring a fair outcome for customers. The DS Manager would manage a small team who would assist the creation of models and would require mentoring and support in their development.


The role would suit a Data Scientist with a track record of delivering General Insurance pricing models or a newly / nearly qualified Actuary with experience and a keen interest in Data Science.


Key Responsibilities

  • Taking the technical lead in projects that create and maintain analytical tools to support our technical models with serve as the foundation for our premium.
  • Develop best‑in‑class models to predict claims outcomes fraud and other KPIs
  • Engineer powerful new rating factors to be deployed into our rating algorithms as well as understanding their impact and value
  • Identify analyse and monetise new data sources
  • Manage and mentor more junior members of the Technical Pricing team
  • Ensure robustness of models across both traditional and non‑traditional model types

Essential skills / experience

  • Experience undertaking Predictive Modelling including the use of GBMs in a General Insurance pricing environment.
  • Experience in the creation and development of models in Python using the main Data Science libraries.
  • Keen interest in emerging ML techniques and the opportunities that these present for insurance companies.
  • Experience in the delivery of large model reviews from initial modelling to implementation.
  • Strong Structured Query Language (SQL) coding skills and being comfortable with data manipulation.
  • Stakeholder management and communication skills with the ability to present technical ideas to a non‑technical audience.

Desirable

  • Experience in a Personal Lines pricing team (motor or home).
  • Experience with using GitHub for version control and as a code collaboration tool.
  • Eagerness to work cross‑functionally with Data Engineers, Data Scientists, Actuaries and Risk Pricing Analysts.
  • Experience of the application of non‑traditional techniques to pricing.

The interview process

  • Recruiter screening call
  • 1st stage interview Initial Intro with hiring leader
  • 2nd interview (Technical) will include panel
  • 3rd call with Hiring Leader

As a Disability Confident employer we’re committed to ensuring our recruitment processes are fully inclusive. What this means to you is if you’re applying for a job with us you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS). For more information on the DCS please visit our inclusive business page on our careers website.


Benefits

  • Flexible working – we champion a flexible hybrid working approach. Please speak to your recruiter to discuss in more detail.
  • Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus.
  • Physical wellbeing – as a Band 4 colleague Hastings pays for you to receive private medical insurance (PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen.
  • Financial wellbeing – we provide you with 4× your salary with our life assurance cover, income protection at no extra cost and matched pension contributions up to 10%. We also offer an award‑winning package which includes discounts, cashback, free independent mortgage advice and free access to financial wellbeing support.
  • Mental wellbeing programme – we have the Thrive mental health app, our colleague assistance programme available 24/7, our own in‑house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs.
  • 27 days annual leave, bank holidays with the option to buy or sell one of your weeks.
  • Access to our health care cash back plans, dental plans, discounted health assessments, cycle to work and tech schemes, discounted and free on‑site facilities, social events throughout the year and much more.

Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues you’ll be helping to drive our growth so in return we’ll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job well, we deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.


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 also note that we have a thorough referencing process which includes credit and criminal record checks.


At Hastings Direct we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.


Employment Type: Full‑Time


Vacancy: 1


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Private Equity Consulting

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.