Data Scientist

Career Moves Group
City of London
2 weeks ago
Create job alert

Job Title:Data Scientist
Company:Meta
Location:Remote
Pay: £50 p/h PAYE
Job Description:
The Data Scientist will analyse complex, high-dimensional datasets to uncover patterns, generate insights, and develop data-driven solutions that enhance products and services. The role involves applying statistical analysis, machine learning, and advanced modeling techniques to design predictive models, run product experiments, and support data-driven decision-making. The Data Scientist will collaborate with engineers to translate analytical prototypes into scalable product features and provide business intelligence and data visualisation support for dashboards and ad-hoc analyses.


Key Responsibilities:



  • Perform exploratory data analysis on large datasets to identify trends and opportunities.
  • Develop and evaluate predictive models and machine learning algorithms.
  • Design, run, and analyse product experiments and hypothesis tests.
  • Partner with product engineers to deploy scalable data solutions.
  • Create dashboards and visualisations to support business intelligence needs.

Required Skills:



  • Programming in Python and/or R.
  • Experience with big data tools (e.g., Hadoop) or visualization tools (e.g., Tableau).
  • Strong statistical, analytical, and problem-solving skills.
  • Ability to communicate complex insights clearly in writing.

Education:



  • Master’s degree in Computer Science, Data Science, or a related field.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - SC Cleared

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.