Call Centre Specialist

Lime Street
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

R&D Data Science Degree Apprenticeship, UK, 2026

Senior Data Scientist

Senior Machine Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

A leading global insurance business has a fantastic opportunity for a Call Centre Specialist to work as part of an AI Business Solutions group withina high-energy team responsible for transforming the way the business operates globally and deliver meaningful business impact across the value chain.

This role will be responsible for leading the development and implementation of call centre analytics solutions across their global contact centres, utilizing cutting edge artificial intelligence and machine learning technologies.

The successful candidate will be an expert in call centre analytics, and will have experience leading complex projects that deliver insights and optimizations to our contact centre operations.

Responsibilities:

  • Lead the design, development, and implementation of call centre AI & analytics solutions across multiple global contact centres

  • Utilize AI technologies to develop predictive models, optimize call routing, and improve customer satisfaction

  • Develop metrics and KPIs to track and report on the effectiveness of call centre operations

  • Collaborate with stakeholders across the organization to identify business requirements and develop solutions that drive operational efficiencies and cost savings

  • Develop business cases and solution options for the various use casesStay current with emerging technologies in call centre across the value chain

    Qualifications

  • Masters or Bachelors degree in marketing or science related disciplines

  • Experience in working in a call centre environment for

  • 5+ years and working on call centre improvement projects

  • 5+ years of experience in call centre analytics, including experience with call routing, agent optimization, and customer experience metrics

  • 5 + years working in the Insurance domain

  • Strong understanding of artificial intelligence and machine learning technologies and their application in call centre operations

  • Strong team leadership and management skills

  • Excellent communication and collaboration skills

  • Experience working in a global organizationMultilingual capabilities with understanding of Spanish, Portuguese or any South East Asian language

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.

Jobs

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.

Education

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.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.