Senior Data Scientist

Paradigm Tech
London
1 month 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 & Machine Learning Researcher

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.