Senior Data Scientist

Paradigm Tech
London
3 weeks ago
Create job alert

Overview

I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth over the last few years and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country.


They are currently looking for a Senior Data Scientist. This will be a blend of client facing skills, the ability to understand business problems, create novel models/ solutions to help the client, and communicate clearly the solution. This role focuses on you being the main POC for major clients combined with technical leadership of the wider team across various projects.


Responsibilities


  • Serve as the main point of contact (POC) for major clients and provide technical leadership of the wider team across various projects.
  • Understand business problems, create novel models/solutions, and clearly communicate the solution to clients.


Key Skills


  • Excellent knowledge of Python and the supporting machine learning and analytics tools
  • Happy in a client facing capacity and able to relay complex solutions simply to the clients needs
  • Experience managing client relationships, projects and technical teams essential
  • Experience of deep analysis gaining actionable insight from often unstructured large datasets
  • Experience working with machine learning models.
  • Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred
  • An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred
  • Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing to do so for this position, current or previous SC clearance preferred


Seniority level


  • Mid-Senior level


Employment type


  • Full-time


Job function


  • Analyst, Consulting, and Engineering


Industries


  • IT Services and IT Consulting and Information Services


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.