Data Scientist

The Career Agent
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

**This role cannot provide Visa Sponsorship, so please do not apply to it if you require sponsorship in the future.


The Opportunity

An excellent position for a personable and outgoing Data Scientist or Data Analyst, who is motivated by variety and opportunity.


This is a successful and entrepreneurial business, focused on helping hospitality and retail and clients to understand and serve their customers more effectively. The founder is passionate and kind, and listens to ideas from her team, giving them trust to deliver their work.


Work with their impressive client list including Zizzi, Tenpin, Wing Stop, Millie’s cookies and Cote. The company needs you to bring a proactive approach to their Data, to deliver value to their clients. There is excellent potential for growth at the company, and for you to build a team underneath you too.


This role suit an analyst with several years of experience looking to make the step up, or someone with experience in a similar role within data science.


The Role

  • Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking / loyalty platforms and PowerBI for visualisation)
  • Drive proactive predictive modelling elements that identify growth opportunities for clients
  • Identify and implement new technologies based on market trends and encourage continuous improvement
  • Work directly with clients and the internal account teams to fulfil and deliver reporting and analysis requests
  • Presenting data to key stakeholders at all levels, including a mix of technical and non-technical professionals
  • Management of the Insights team - assigning workloads and supporting team development


The Person

We are looking for someone that can make the technical simple through explaining the story behind the information, so the activation team can activate opportunities within the data.


  • Highly competent with PowerBI, DAX and / or similar data visualisation software
  • Experience with coding environments such as Python, R and SQL
  • Highly proficient in Microsoft Excel
  • Client facing experience (ideally in a Data context) is highly desired
  • A broad understanding of the hospitality and retail industries, including the role of digital and email marketing
  • Strong problem-solving skills, with high attention to detail and the ability to work both independently and as part of a team
  • A storyteller, who can explain data to non-numerate individuals
  • Excellent verbal and written communications skills
  • A flexible approach to changing priorities, i.e. happy to work in an agency environment
  • A passion and curiosity for Data Science and Analytics
  • You are driven to make a difference for stakeholders


The Details

  • Contract:Permanent
  • Remuneration:£40,000 - £50,000 + discretionary bonus + excellent benefits
  • Location:London (Soho), 1 day/week in the office is expected, some people come in more often
  • Culture:Friendly, positive, fun and vibrant

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.