Senior Data Scientist

Understanding Recruitment NFP
Durham
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Charity


Our client, a leading public-sector charity dedicated to making a meaningful impact, is seeking a Senior Data Scientist to join their team. In this role, you will drive data-centric insights, improve operational processes, and support impactful decision-making for their fundraising and outreach initiatives.


As a Senior Data Scientist, you will apply your expertise in statistical methods, machine learning, and predictive modeling to uncover valuable insights from data. You’ll collaborate with cross-functional teams to support strategy, enhance donor engagement, and optimize campaigns. With your experience in R/Python, machine learning algorithms, and data visualisation, you will play a key role in shaping the future of the charity's data-driven approach. This is an exciting opportunity to be part of an organisation committed to creating positive change.


This is an exciting time to join the charity as they invest in building cutting-edge data infrastructure. You'll work with clean, well-structured data stored on modern platforms and tools, including cloud-based technologies. The charity is focused on transforming their data practices to create more impactful and evidence-driven strategies.


Key Skills:

  • Statistical Methods & ML:Experience with supervised and unsupervised machine learning to uncover insights and support decision-making.
  • Predictive Modeling:Skilled in building models based on customer behavior and forecasting using aggregated data.
  • Programming:Expertise in R or Python for efficient, optimised code, with experience in version control, reusable packages, and code testing.
  • Data Visualisation:Proficient in creating web applications (Plotly, Dash, Shiny) and using tools like Tableau or Power BI for clear data presentation.


Contract Details:

  • Position:Permanent
  • Salary:£50,000 - £56,000
  • Location:Hybrid: Lytham - North West, Glasgow - Scotland, Durham - North East.
  • Pension:29% employer contribution!


This is an exciting opportunity to join a leading charity that is transforming its data landscape. By leveraging your expertise, you'll help create deeper insights and drive significant impact for the charity's mission.


Apply nowfor immediate consideration for this rewarding and impactful role.

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.