Quality Co-ordinator

Sheffield
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics Engineer (Microsoft Fabric)

Graduate Clinical Data Analyst

Senior Data Scientist

Graduate Clinical Data Analyst

Senior Genomic Data Scientist - 2 Year FTC, Adult Population Genomics Programme (we have office locations in Cambridge, Leeds & London)

Senior Data Engineer

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

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.

🍪 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.