Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Data Science Festival
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data ScientistSalary: £60k – £80k plus bonus and benefitsLocation: London – Hybrid

Data Idols are proud to partner with a renowned tech giant as they continue to push the boundaries of innovation. We are assisting them in expanding their data capabilities by hiring an experienced and driven Data Scientist. This is a fantastic opportunity to join a forward-thinking organisation at the forefront of technology, where you’ll play a pivotal role in shaping data-driven strategies and solutions that make a real impact.

The Opportunity

As a Data Scientist, you will:

  • Dive into large datasets to extract meaningful insights and identify trends that drive strategic decision-making.
  • Develop and refine predictive models and machine learning algorithms to address complex business challenges.
  • Partner with cross-functional teams, including data engineers, analysts, and product managers, to design and implement impactful data-driven solutions.
  • Transform complex findings into clear, compelling visualisations and reports that resonate with stakeholders at all levels.
  • Stay at the cutting edge of data science by exploring emerging technologies and methodologies, bringing fresh ideas and innovative approaches to the team.
What’s in it for you?
  • Private pension scheme
  • Generous annual leave
  • Flexible/hybrid working options
  • Comprehensive training and development opportunities
  • Career progression in a supportive environment

Skills and Experience

  • Proven experience in data science, including machine learning and statistical analysis.
  • Proficiency in Python, R, or similar programming languages.
  • Strong SQL skills for data manipulation and querying.
  • Experience with data visualisation tools such as Tableau or Power BI.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving and communication skills.

If this sounds like the perfect opportunity for you, we’d love to hear from you! Please send your CV by clicking the “Apply” button below.

Data Scientist
#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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.