Data Scientist

ZipRecruiter
Liverpool
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Job Description

Data Scientist - Up to £47,000 - Hybrid Role (One day a week in Liverpool and particularly Manchester)

Are you a Data Scientist looking for a role where you'll have ownership, autonomy, and the chance to make a real impact? My client, a forward-thinking organisation, is looking for a talented professional to join theirData Insights Team, part of their widerBusiness Intelligence Team.

This is a fantastic opportunity to work on strategic, high-impact projects that utiliseData Science, Machine Learning, and AIto solve complex challenges and deliver actionable insights for senior leadership.

The Role

In this role, you'll have the freedom to:

  • Lead and ownprojects from concept to delivery, including generating ideas for new initiatives.
  • Work closely with stakeholders to turn insights into action, creatingengaging reportsthat tell compelling stories with data.
  • Collaborate with teams across the organisation, including Continuous Improvement, Research, Finance, IT Systems, and Senior Operational Leadership.
  • Use advanced analytics, forecasting, and modelling techniques to evaluate business performance, measure impact, and shape decision-making.

Key responsibilities include:

  • Identifying business problems and building solutions withData Science and Machine Learning.
  • Forecasting and predicting metrics using algorithms and models.
  • Assessing the impact of interventions and preparing cohort performance statistics.
  • Ensuring sound and robust data practices to deliver high-quality results.

What We're Looking For

The ideal candidate will:

  • Be aninnovative problem solverwho's excited about building solutions for business challenges.
  • Have strong technical skills in feature selection, model building, and synthetic data .
  • Be able tocommunicate complex techniquesto non-technical stakeholders effectively.
  • Work collaboratively with cross-functional teams to deliver impactful solutions.
  • Have a strong foundation in Data Science, with experience applying Machine Learning techniques.

What's on Offer?

  • Very competitive benefits package
  • Hybrid Working: One day a week in Liverpool and sometimes Manchester.
  • The chance to make a genuine impact and take ownership of your work.
  • The opportunity to work in a collaborative environment alongside Insight Analysts, Data Scientists, and Machine Learning Engineers.

About the Client
This global industry leading organisation is dedicated to creating a culture that values collaboration, innovation, and high performance. They are looking for someone who shares their passion for leveraging data to drive meaningful change.

How to Apply
If you're ready to take the next step in your Data Science career and work with a forward-thinking organisation, please get in touch! I'd love to tell you more about this exciting opportunity.

#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 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.

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.