Supportive Living Worker

Fulbridge Social Care
Derby
1 week ago
Create job alert

If you want to work in a unique environment where your efforts will enhance the quality of life for our service users, then we need you.

Fulbridge Social Care require staff teams for numerous shift patterns within elderly care homes and disability support settings.

We are taking on trainee and qualified candidates as we offer full support, training including the Care Certificate, First Aid, Medication Administration and the opportunity to gain qualifications in this field.

Please note that you would be required to complete an enhanced DBS with Fulbridge Social Care and successfully complete one of our induction assessments prior to any placements being offered.

We require individuals who have the confidence, patience and skill set to successfully work with our service users and make a positive impact on their lives. In this role, you will be part of a team to support service users throughout the day with basic tasks as supporting with meal preparation, personal care, cleaning and shopping.

Main duties and responsibilities:

Build strong professional relationships with the service users and other members of staff

Maintain a safe, clean and enjoyable environment for service user's s to live and for you to work

To keep up to date with all communication / information systems

Attend and take an active part in meetings as appropriate

To promote equality, acknowledging individual's differences

Protect service users from any form of abuse from staff, visitors or service users

Write accurate reports for reviews and keep written records for monitoring purposes

Attend work reliably and punctually and to follow a set shift pattern

Ensure you keep yourself up to date with all procedures and policy changes

Take responsible care for the health and safety of yourself and others

Undertake any other additional duties as required, which are relevant to the post

Person Specification:

Ability to form professional relationships with service users

Ability to read and understand written work and to write clear and accurate reports

Ability to communicate clearly and easily with service users in a variety of ways

Ability to go wherever service users want to go and participate in all activities

Ability to work as directed and complete tasks reliably and to a high standard

Ability to participate in training and development

Ability to follow a work pattern and to attend work punctually and reliably

Awareness of what effective teamwork is

Awareness of the general health, safety and welfare of service users

Numerous shift patterns available including:

8am - 4pm

4pm - 11pm

11pm - 7am (waking nights)

Related Jobs

View all jobs

Care Support Worker

Support Worker

Support Worker

Support Worker

Support Worker - Post 16

MENTAL HEALTH - SUPPORT WORKER

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.