National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst - Working From Home

Peroptyx
Southampton
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications.

Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe. As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences.
 
With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine.

So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!

 
Ideal Candidate



  • Fluent in English.
  • Excellent research skills.
  • Excellent local knowledge of your home country.
  • Good understanding and general knowledge of the geography and culture of the UK.
  • Analytical mindset. 


 
Job Requirements
 
You must be living in the UK for a minimum of 5 consecutive years so that you are familiar with your local geography.



  • Must pass an online open-book exam that can verify your full understanding of the material and concepts.
  • Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability.
  • Good working knowledge of search engines, map applications and familiarity with social media platforms.
  • Strong ability to learn, understand and apply multiple sets of different instructions.
  • All work must be of an independent nature.  


Technical requirements to perform the work
 
Access to a laptop or computer which uses:
-       A log on account unique to you
-       Anti-virus solution that is kept up to date, with regular scans performed
-       Only one member per household may apply
    NB. All products should be provided at your own expense.
 
Benefits
 
· Work up to 20 hours per week.
· Earn a competitive rate of pay.
· Develop your research skills.
· Avoid the long commute.
· Work from the comfort of your home office.
· Enjoy the flexibility of setting your own working hours!
 
Apply Online Today!
  
This is a freelance, independent contractor position

Additional information:Employment type:Part-time
National AI Awards 2025

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 Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.