Data Scientist

Entasis Partners
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

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.

Careers

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.

Jobs

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.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.