Data Science Manager

KDR Talent Solutions
Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Manager – Property Tech – London

Data Science Manager - Property Tech - London

Data Science Manager – Property Tech – London

Data Science Manager (GenAI)

Data Science Manager (GenAI)

Data Science Manager (GenAI)

Data Science Manager | £75k - £95k Base Salary + bonus and benefits | (Hybrid - with regular business travel to Glasgow (1-2 times a month))


MUST HAVE BANKING EXPERIENCE


We’re excited to be recruiting on behalf of a Tier 1 Bank for an exceptional Data Science Manager to join their Advanced Analytics team. If you’re passionate about Artificial Intelligence (AI), Machine Learning (ML), and leading innovative projects that will shape the future of banking, this is the perfect opportunity!


What You’ll Be Doing:

In this role, you’ll be managing a team of 8 that are responsible for leading the development, deployment, and ongoing support of AI/ML models within one of the top financial institutions.


You’ll be responsible for managing models in production, ensuring seamless operation, and optimising performance.


Your key responsibilities will include:

  • Leading a team of talented data scientists & ML Engineers , driving advanced analytics and fostering a collaborative, innovative environment.
  • Overseeing the AI/ML lifecycle ⏳ from ideation to deployment, ensuring best practices in ML Ops.
  • Managing governance and compliance frameworks ✅, ensuring AI/ML projects adhere to ethical and regulatory standards.
  • Engaging with key stakeholders , communicating AI strategies, and delivering valuable insights.
  • Innovating by integrating advanced analytics into the bank’s operations, enhancing decision-making processes.


What We’re Looking For:

Our client is searching for a Data Science Manager who combines technical expertise with strategic vision. The ideal candidate will have:

  • Strong experience in AI/ML model development and deployment. ⚙️ ️
  • Experience building commercial Gen AI & LLM solutions
  • A solid understanding of governance and compliance in AI/ML technologies. ️
  • Proven team leadership skills ‍ ‍ , with the ability to develop and inspire a high-performing team.
  • Excellent stakeholder management skills , capable of translating complex AI strategies to various audiences.


Why This Role?

This is an outstanding opportunity to work with a Tier 1 Bank at the cutting edge of AI/ML innovation. You’ll join a forward-thinking team that values creativity, ethics, and continuous development. Acting as a delegate for the Head of Advanced Analytics , you’ll play a crucial role in steering AI strategy and delivering impactful solutions.


If you're ready to take the next step in your career and lead AI-driven transformation at a prestigious financial institution, we’d love to hear from you!


Apply today to be part of this exciting journey and help build the future of banking with advanced analytics! ✨

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.