Office Administrator (Part-Time) We are looking for an experienced Office Administrator to join our team on a part-time basis (2–3 days per week, 7–8 hours per day). The ideal candidate will be highly organised, confident using computers, and have a good understanding of digital marketing and social media. Key Responsibilities: General office administration and organisation Managing correspondence and supporting day-to-day operations Assisting with digital marketing tasks, including social media updates and content scheduling Supporting the team with ad hoc administrative and marketing projects Requirements: Experience in office administration Strong computer skills (Microsoft Office, email, online tools) Familiarity with social media platforms and basic digital marketing Excellent communication and organisational skills. Details: Part-time: 2–3 days per week (7–8 hours per day) with the possibility of becoming full time in a couple of months time. Pay: £12–£15 per hour (depending on experience)
Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.
Job Description – Electrician’s Mate Location: Based in North London (work carried out across all London areas) Employment Type: Full-time About the Role We are looking for a reliable and hardworking Electrician’s Mate to join our team. You will support qualified electricians in a variety of domestic and commercial projects, including rewiring, fault finding, and assisting with testing and inspection work. Key Responsibilities Assist electricians with installation, maintenance, and repair of electrical systems Support in carrying out full and partial rewires in domestic and commercial properties Help identify and resolve electrical faults under supervision Prepare and maintain tools, equipment, and work areas Assist with testing and inspection tasks (under guidance of qualified staff) Follow health and safety procedures at all times Travel to different sites across London as required Requirements Previous experience as an electrician’s mate or in a similar role (preferred but not essential) Basic knowledge of electrical systems and tools Willingness to learn and work under supervision Ability to work in domestic and commercial environments Good communication and teamwork skills Flexibility to travel across London Valid ECS card (preferred) Benefits Competitive pay (based on experience) Opportunity to develop electrical skills and progress within the trade Work on varied projects across London
Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment. Job Description: Computer analysts and scientists research, design, develop, and optimize computer systems, algorithms, and software. They analyze computing needs, explore emerging technologies like AI, machine learning, and big data, and develop innovative solutions to complex computing problems. They may also work in theoretical research or applied computer science across various industries. Job Description: Data architects design and manage an organization’s data infrastructure. They create data models, define data standards, and ensure data systems are structured to support business processes, analytics, and decision-making. They establish policies for data integration, storage, and security, often collaborating with engineers and analysts. Data engineers build and maintain data pipelines and architectures that allow organizations to collect, process, and analyze large sets of data. They work on database management, ETL (Extract, Transform, Load) processes, data warehouses, and big data platforms, ensuring data is reliable, accessible, and efficiently processed for analysts and business use. IT systems architects design and implement the overall structure of IT systems within an organization. They ensure systems are scalable, secure, and aligned with business goals. They create technical blueprints, integrate hardware and software components, and evaluate new technologies to optimize IT operations. IT business analysts act as a bridge between business needs and IT solutions. They gather and analyze business requirements, assess existing systems, and recommend IT solutions that improve efficiency and meet organizational objectives. They also support testing, documentation, and change management during system implementations. IT solutions architects and designers focus on creating technical solutions tailored to specific business needs. They design software, applications, or system integrations, ensuring compatibility, scalability, and compliance. Their work involves selecting technologies, defining frameworks, and guiding development teams through solution implementation. This category covers IT specialists whose roles combine aspects of business analysis, architecture, and systems design but don’t fit neatly into standard classifications. They may work on hybrid projects, such as digital transformation, enterprise integration, or custom IT strategy, often requiring a mix of technical, analytical, and business expertise.
🌿 Landscape Surveyor – Imperial Grass Limited 📍 Based in Harrow, covering London & surrounding counties 💰 Competitive Salary + Performance Bonus 🚗 Full UK Driving Licence Required Are you passionate about landscaping and enjoy meeting clients face-to-face? Imperial Grass Limited, a leading landscaping company based in Harrow, is looking for a skilled Landscape Surveyor to join our team! About the Role: As a Landscape Surveyor, you will be the first point of contact for our clients. Your responsibilities will include: Visiting residential and commercial properties to assess landscaping needs Measuring and evaluating project areas Discussing design ideas and gathering client requirements Presenting our range of premium products including Artificial Grass, Patios, Driveways, and Fencing Working closely with the sales and installation teams to ensure accurate quotations and smooth project handover What We're Looking For: Proven knowledge in landscaping, especially in: Artificial Grass Patios Driveways Fencing Excellent communication and customer service skills Ability to measure and document area dimensions accurately Confidence in showcasing products and explaining installation options A full UK driving licence – you’ll be travelling to client sites across London and surrounding counties Why Join Us? Competitive base salary with bonus structure based on closed sales Company vehicle and fuel allowance (or mileage reimbursement) Friendly and supportive work environment Opportunities to grow within a fast-expanding company 📩 Ready to apply? If you’re passionate about landscaping and enjoy working directly with clients, we’d love to hear from you. Apply today with your CV and a short cover note telling us why you'd be a great fit.