Sheltered Housing Service Manager

Hammersmith
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

Job Role: Sheltered Housing Service Manager

Job Location: Hammersmith & Fulham Council

Rate: £300 to £350 per day

Working period: Monday – Friday 09:00 – 17:30

Our housing service is on a journey of improvement and continues to face operational challenges. We have made changes and major improvement in repairs, contact centre, and complaint management.

The Sheltered Housing Manager is responsible for providing strong leadership to staff and overseeing operational management to ensure the provision of a responsive, customer focused housing service to approximately 1100 sheltered residents. They will use business intelligence, customer feedback and staff insight to continuously develop the service, identifying service improvements to meet the needs of residents.

You will need to:

  • Ensure, through effective day to day management, that the team delivers and continually improves a comprehensive enhanced housing management service to help residents maintain their tenancy and ensure they can access and receive a range of housing and support services.

  • Build an effective team through leadership and by setting a personal example so that team members are fully engaged and delivering an excellent service.

  • Ensure there is systematic monitoring and inspection of sheltered housing schemes to provide secure, clean and well-maintained communal areas and services.

  • Ensure that vacant properties are passed to and received back from repairs and let within required timescales and that there is efficient, prompt and appropriate resettlement of new customers to reduce the loss of revenue and improve satisfaction for new tenants in terms of access to local services, health & safety checks and knowledge of the schemes facilities

  • Ensure revenue loss is minimised through the team’s effective management of rent arrears and the maximisation of resident’s access to financial assistance by promoting and facilitating a wide range of financial inclusion.

    Knowledge & Skills:

  • Educated to degree level or trained and qualified in supported housing, for example NVQ Level 4 or sufficient experience to demonstrate ability.

  • Significant experience of managing a team of Specialist Housing Officers, working with vulnerable customers.

  • Experience of working within a performance management framework and reporting on KPIs and outcomes.

    Right to work requirements

  • Passport

  • BRP

  • Sharecode

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.

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.

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.