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

Guildford
10 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Scientist

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Data Scientist, Envelop UK

Informatics Data Science Manager

Informatics Data Science Manager

Graduate 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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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.