Data Science Graduate

Hastings Direct
Leicester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Graduate

Data Science Graduate Scheme

Data Scientist Graduate

Data Science Analyst / Graduate

Data Science Trainee

Data Science Trainee

**2026 - Pricing, Data and Analytics Graduate Programme (Data Science Pathway)**Our data science pathway is designed to give you the opportunity to apply innovative data science techniques to solve real-world business challenges and deliver commercial value. You’ll work closely with and learn from recognised experts in collecting and analysing large data sets to create data-led solutions that incorporate automation, machine learning and software design.Over a period of two years, you will complete placements in Underwriting and Retail Pricing to build knowledge, technical skills and understanding of these departments ready to secure a promotional new analytics type role by the end of the scheme. Requirements:- Ability to code using Python or RVery good communication skills; experience presenting results to others.- Excellent skills in logic and problem-solvingWhen you join Hastings Direct, you’ll be making a real contribution to our success. You deserve to share in that success, so alongside a competitive and flexible salary, we offer a benefits package that recognises and rewards your part in our growth. and check out the what we offer tab to learn more.Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 4 million customers in the UK, employing over 4,600 colleagues. Our vision – to be the best and biggest digital insurance provider in the market.It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community. It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have fun along the way.
#J-18808-Ljbffr

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.