Quality Co-ordinator

Sheffield
1 month ago
Applications closed

Related Jobs

View all jobs

Quality Inspector

QC Materials Analyst

Power BI Developer

Mechanical Inspector

Operations Analyst, Insurance Operations

Analytical Chemist

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.