Senior Data Scientist

Hastings Insurance Services Limited
Bexhill-on-Sea
3 days ago
Create job alert
About the Role

The Senior Data Scientist/Data Science Manager will own and oversee projects delivering predictive models and other tools into Hastings' market-leading pricing. This role is within a team of data scientists championing machine learning (ML) techniques to improve predictive performance using vast amounts of customer information. They will combine their knowledge and understanding of data science concepts with Hastings' domain knowledge and processes to develop advanced solutions to help Hastings become the top digital insurer in the UK. They will lead a team of data scientists, who will assist them in the creation of data science solutions.


Responsibilities

  • Leading data science projects and teams to develop novel models and tools
  • Mastering Hastings' systems, processes, and technology to maximise the effectiveness of your team
  • Championing the investigation and use of powerful new features developed within Hastings Direct
  • Building reusable, maintainable, automatable, and innovative processes and pipelines
  • Leading, supporting, and mentoring junior colleagues
  • Supporting senior leaders in the delivery of strategic objectives

Required Skills

  • Deep understanding of predictive modelling and machine learning
  • Track record of delivering commercial value
  • Strong SQL coding skills
  • Proficiency and experience using Python and ML libraries to build data science products
  • Experience using Git for code collaboration and product version control
  • Strong senior stakeholder management and communication skills
  • Desire to lead projects and support junior colleagues to achieve commercial results

Desirable

  • Experience in general insurance
  • Experience using Azure Machine Learning Studio
  • Experience using Snowflake
  • Experience leading, supporting, and mentoring junior colleagues

Personal Attributes

  • Natural problem solver who loves building quality solutions to complex real-world challenges
  • Dynamic, flexible, and delivery‑focused
  • Takes ownership and accountability

About Hastings

We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.


We provide insurance for over four million customers, but we know there's even bigger opportunity out there. Our Pricing, Data and Analytics community values curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.


Pricing is more than just a number – it's a strategic capability. At the heart of Hastings we have deep risk insight – continually improving how we assess, segment and price risk through data and analytics.


Benefits

  • Competitive salary and £5k car allowance
  • 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)
  • Financial wellbeing – life assurance cover (£4x salary), income protection at no extra cost, matched pension contributions up to 10%, plus discounts, cashback, free independent mortgage advice, and free access to financial wellbeing support
  • Mental wellbeing programme – we have the Thrive app, colleague assistance programme available 24/7, in-house mental health first aiders, support groups and a dedicated team to ensure we cover your needs
  • 27 days annual leave + bank holidays, with the option to buy or sell one week
  • Access to health care cashback 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

Equal Opportunities

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.


As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – 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.


#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

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.