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

Apply Now

Data Scientist

Entasis Partners
Liverpool
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist / Quant Engineer

Data Scientist (Mid Level)


Are you ready to make a meaningful impact in the mobile network industry?


We are looking for a talented Data Scientist to join a dynamic and innovative team, contributing to mobile network data analysis innovation while driving sustainability efforts. This fully remote role offers the chance to join a growing data analytics team within an ambitious and market-leading organisation.


Your Responsibilities

  • Apply data science and machine learning techniques to time-series data, delivering impactful insights for clients.
  • Collaborate with business analysts and software engineers to create cutting-edge solutions to industry challenges.
  • Design algorithms and experiments to support product development and enhance business intelligence.
  • Process, clean and verify data integrity while automating event and anomaly detection models.
  • Stay informed on technological advancements, proactively implementing new techniques to boost analytics capabilities.


About You

  • At least 2 years’ experience in data science or analytics roles.
  • Proficient in Python, SQL and data science tools.
  • Comfortable working with time-series data and applying machine learning techniques.
  • Strong statistics background and problem-solving abilities.
  • Independent and self-motivated with excellent communication and collaboration skills.
  • Telecom experience isn’t necessary - just bring your enthusiasm to learn and innovate.


Be part of a collaborative remote-working team with a global impact. You'll benefit from:

  • Flexible work arrangements, with regular in-person team meetups in London.
  • Generous benefits package including holiday allowance, pension contributions, equity options, and a budget for personal development.
  • Opportunities to work on exciting industry initiatives like carbon reduction and rural expansion.
  • Support for continuous learning and professional growth tailored to your interests.


Ready to apply?


If this role sounds like the perfect fit for your skills and ambitions, we'd love to hear from you. Apply now and be part of an innovative team transforming their sector!

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.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.