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

Apply Now

Complaints and Information Officer

London
4 months ago
Applications closed

Related Jobs

View all jobs

Corporate Complaints Data Analyst

Head of Estates Data Engineering

CPRD Data Scientist

Data Architect

Data Architect

Data Architect

Job Title: Customer Services Advisor - Complaints and Information Governance Officer
Job Type: Contract (Inside IR35)
Hours: Full-time, 35 hours per week (Monday to Friday, 09:00 - 17:00)
Location: Hybrid working (office/site as required)
Work Style: Flexible

Role Overview:

We are seeking a proactive and customer-focused Complaints and Information Governance Officer to join a busy Housing and Neighbourhoods team. You will manage a caseload of complaints and members' enquiries under the Corporate Complaints Procedure, ensuring high-quality, timely, and empathetic responses.

This role requires a strong problem-solver with excellent communication skills, capable of driving service improvements and preventing complaint escalation. You'll play a key part in ensuring the organisation remains accountable, transparent, and committed to excellent customer service.

Key Responsibilities:

Manage a caseload of customer complaints and member enquiries in line with corporate guidelines.
Ensure responses are comprehensive, timely, and customer-focused to avoid unnecessary escalation.
Investigate stage 1 complaints thoroughly and recommend service improvements where applicable.
Issue determinations and, where appropriate, compensation, aligned with organisational policy.
Coordinate cross-departmental responses to complex or high-profile complaints.
Hold service teams accountable for performance and escalate serious issues where needed (e.g., safeguarding or misconduct).
Provide high-quality written responses and maintain accurate records of all complaint correspondence.
Collaborate with internal teams and external stakeholders, ensuring compliance with agreed procedures and response timelines.
Contribute to regular reports and briefings on complaint trends, outcomes, and areas for improvement.
Provide cover for administrative tasks within the Customer Solutions team when required.
Ensure relevant, accessible services and advocacy are available to complainants.

Skills and Experience Required:

Strong understanding of corporate and statutory complaints procedures.
Experience managing complex complaints and customer service issues in a housing or public sector environment.
Excellent written and verbal communication skills, with the ability to write clear, empathetic responses.
Demonstrated ability to work under pressure, manage competing priorities, and meet tight deadlines.
A proactive and diplomatic problem solver, able to identify patterns and recommend service improvements.
Confident using IT systems to manage caseloads and maintain accurate digital records.
A collaborative mindset with the ability to influence service delivery outcomes across teams.
Commitment to delivering high-quality service and continuous improvement.

Additional Information:

Candidates must be confident working within data protection (GDPR), safeguarding, and health & safety frameworks.
You will be expected to contribute to training, team development, and meetings as part of ongoing performance improvement.
A strong commitment to equality, diversity, and inclusion is essential.

How to apply?

Send a CV to (url removed)

People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.

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.

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.

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.