Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quality Co-ordinator

Sheffield
6 months ago
Applications closed

Related Jobs

View all jobs

Data Quality Analyst

Data Quality Analyst - Milton Keynes

Data Quality and Governance Lead

Data Quality Assurance Officer (Apprentice)

Data Quality Assurance Officer (Apprentice)

Senior Data Management Professional - Data Quality - Entities Data (Private Markets)

Sue Ross Recruitment are seeking a Quality Co-ordinator to join a leading provider of debt recovery services across the UK, employing over 450 people nationwide. This is a fantastic opportunity to play a key role in monitoring, improving, and maintaining call quality standards while helping to develop the call centre team. If you have a strong regulatory background, coaching experience, and a keen eye for quality and compliance, we’d love to hear from you!

The Role:

Working closely with contact centre managers, you will be instrumental in ensuring quality assurance across all customer interactions. You will provide structured feedback and coaching to call agents, helping them refine their approach, improve compliance, and enhance overall customer service.

Your role will involve monitoring calls, analysing key performance metrics, conducting training sessions, and supporting compliance and ISO audits. You will also play a key part in data accuracy and process improvements, helping to drive efficiency across the business.

Key Responsibilities:

  • Monitor and assess call quality, ensuring high standards of customer service and compliance.

  • Provide coaching and feedback to call centre team members to enhance their performance.

  • Conduct one-to-one coaching sessions, identifying strengths and areas for improvement.

  • Assist in managing KPIs, ensuring team focus on quality, call handling time, and collection outcomes.

  • Ensure adherence to regulatory and compliance guidelines, protecting both customers and clients.

  • Conduct online testing and monitor agent performance standards.

  • Support improvements in data quality entered into our systems, providing recommendations for change.

  • Assist in training new and existing team members, building their confidence and capability.

  • Collaborate with clients and internal teams to ensure smooth operations and compliance.

  • Support ISO internal and external audits, ensuring all quality standards are met.

    The ideal candidate will have previous experience working within a regulated industry and must be proficient using a variety of IT systems.

    Previous experience in a telephony environment is required, and you must be able to assess call handling performance and identify areas for improvement.

    In return, our client offers flexible working hours (between 8am and 8pm Monday – Friday), full training and career development opportunities and a competitive starting salary. On-site parking and daily refreshments are also provided.

    Unfortunately due to the number of applications we receive, we are unable to provide individual feedback to all applicants. Please assume that if you do not hear from us within 72 hours that your application has been unsuccessful on this occasion.

    May we take this opportunity to thank you for expressing an interest in one of our roles and wish you the very best in your search for employment

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.