Business Support Apprentice

Mears
Tonbridge
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst Business Coach

Digital And Technology Solutions Degree Apprenticeship [Data Analyst] – Trading & Supply - Shell UK

Digital And Technology Solutions Degree Apprenticeship [Data Analyst] – Information And Digital[...]

HR Data Assistant

Computing Lecturer

Computing Lecturer

Annual salary: up to £26,984.10

Business Support Apprentice

Location: Tonbridge

Salary: 16yrs – 17yrs: £7.71ph 40 hours per week including time at college

Over 18yrs: £10.71ph – 42.5 hours per week including time at college

Over 21yrs: £12.21ph - 42.5 hours per week including time at college

A bit about us.

MPS has been caring for residents’ homes for over 25 years. As part of the Mears Group, we offer partnership solutions and expertise in estate management and property maintenance.

Delivering a range of property services, including reactive repairs, planned and cyclical maintenance services to over 100 local authorities and housing providers nationwide.

About apprenticeships at Mears Group: 

Apprenticeships are an underpinning part of Mears’ philosophy; we are committed to developing the next generation of our workforce, many of our most senior people started their working life as an apprentice. Whether you are fresh out of school or college or looking for a complete career change, we can offer you a great foundation to your future career and beyond. 

As an Apprentice you will be paid above the national minimum wage and be paid for your normal working hours plus time to do your college work with the opportunity to get real life experiences such as working in people’s homes, getting involved in community projects and improving people’s lives by being customer focused.

This apprenticeship will take around 12 months to complete and result in gaining your NVQ level 3 in customer service. 

About the role: 

As aBusiness SupportApprentice, you will be developing within the role guided by your mentor. The role will be based within our customer service team working from our branch in Tonbridge. One day a week is allocated to complete your college coursework and the option to work from home when completing this is available.

You will not be required to attend college; all courses are online, and assessments are submitted via a secure portal.

You will be involved in a wide range of activities including data analyst, using this information to support both complaints and compliments from the client, tenants, and residents. Attending meetings and site visits and arranging social value events with local schools and community groups. 

For this position, you will need to be living within a 10 mile radius of the branch and will be responsible for making your own way into the office.

Role Criteria: 

GCSE pass grade in both Math's and English (Grade 4 and above or grade C and above) Great Communication skills.  Knowledge of Microsoft office, Excel, outlook, Word etc.

Application Process:

To be considered for this apprenticeship all applicants must submit their CV and a Cover Letter detailing why you are interested in the role and why you would like to be an apprentice. We will contact you to confirm if you have been selected for the next round, which would either be an invitation to an assessment centre or individual interviews Please note that you will be required to complete a basic Math & English test during the selection process, which are similar to the assessments you would need to take in order to join the college. All our roles require candidates to have the right to work within the UK, Mears does not currently offer visa sponsorship. Candidates should be aware that all our roles are subject to relevant DBS/Security checks.

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.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.