Graduate Data Scientist / Engineer – Guildford area £30k- £40k

Guildford
11 months ago
Applications closed

Related Jobs

View all jobs

Junior / Graduate Data Scientist

Senior Data Scientist

Faculty Fellowship Programme - Data Science - May 2026

Graduate Data Scientist

Data Scientist

Data Scientist

Graduate Data Scientist and Engineer – Finance – Guildford area £30k- £40k

Are you a recent Data Graduate or Junior Data Engineer eager to kickstart your career in a role that would combine Data Science and Engineering? I am working with a leading finance company in the Guildford area to recruit a Graduate Data Engineer and Scientist to join their Data team. I’m looking for a recent Graduate / Junior Data Engineer with a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field and proven skills through training, internships or commercial experience in a Data Engineer, Data Science or Data Analytics role.

The role:

  • Conduct data analysis and engineering tasks.

  • Use your expertise to derive insights and MI from data.

  • Develop algorithms and robust data-driven solutions.

    To be considered you will have experience with many of the following technologies:

  • Proficiency in programming languages such as Python or Scala.

  • Experience with ETL, Data Pipelines, Data Modelling, Data Warehousing and Data Visualisation tools (e.g., Snowflake, Hadoop, Kafka, Power BI, etc.).

  • Experience with SQL Server 2016+ with Excellent T-SQL skills

  • Understanding the Relational Database * Experienced across MS BI Stack – SSIS, SSAS, SSRS

  • Experience of MDX and DAX * Experience with ETL development

    It would be desirable if you have an understanding of machine learning algorithms, statistical analysis, and data manipulation techniques and Azure Cloud platforms and Data tools.

    Salary: £30,000 - £40,000 + good pension + 25 days holiday + Discretionary bonus + Private medical + life assurance

    Location: Hybrid Working - 3 days in the office of your choice based in the Guildford area

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.