The Master Akmol Hussain Trust is a charitable organisation .Guided by the values of compassion, integrity, and service, the Trust strives to make a lasting, positive difference in the lives of those most in need. We are now seeking a passionate, organised, and forward-thinking Charitable Organisation Manager to lead the day-to-day operations, manage key projects, and help shape the future of our growing charity. Key Responsibilities • Oversee the Trust’s operations, ensuring efficient management of all programmes and initiatives., • Develop and implement strategic plans in alignment with the Trust’s mission and objectives., • Manage fundraising campaigns, donor relations, and grant applications to ensure sustainable growth., • Maintain compliance with all charity regulations, reporting, and governance standards., • Coordinate volunteer activities and community outreach programmes., • Prepare and manage budgets, financial reports, and funding proposals., • Work closely with trustees, partners, and beneficiaries to deliver impactful outcomes., • Promote the Trust’s work through effective communication, marketing, and public relations. Essential: • Proven experience in charity management, non-profit leadership, or a related field., • Strong organisational and administrative skills., • Excellent communication and interpersonal abilities., • Ability to manage budgets, fundraising activities, and compliance requirements., • A proactive, compassionate leader committed to social impact. Desirable: • Understanding of charity law and governance., • Relevant qualification in management, charity administration, or community development. Hours: 37.5 (Full Time) How to Apply Please send your CV and a cover letter outlining your relevant experience and motivation
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.
Teachers, cover staff, with a medical background if possible, to join me and my team at Dennis Academy in hackney, i also need teachers who can perform on stage, with regards to one of our activities that must be acted out on assembly, please note we are at the stage of viewing buildings as i am viewing a school building next week. And I'm so excited. We have now until the next school opening for students in January, i believe, so a lot of advertising needs to be speeded up. Remember its government funded so at their speed regards Dennis
Key Responsibilities • Assist with the preparation, review, and management of legal documents, contracts, and agreements., • Assist and maintenance building compliance documents and renewals, • Maintain compliance registers and ensure timely submission of statutory and regulatory filings., • Conduct research on relevant legislation, regulations, and industry guidelines., • Support in the monitoring and implementation of compliance frameworks, policies, and procedures., • Assist in internal audits and compliance checks., • Maintain accurate and up-to-date records of licences, certifications, and company policies., • Liaise with external regulators, advisors, and legal counsel when required., • Help in investigating and reporting compliance breaches or incidents., • Support training initiatives on compliance, data protection, anti-money laundering (AML), and related areas., • Provide general administrative support to the legal and compliance team, including filing, diary management, and meeting coordination. Skills & Qualifications • Degree (or working towards) in Law, Business, Building Compliance, or related field preferred., • Previous experience in a legal, compliance, or regulatory environment desirable., • Strong knowledge of corporate governance, data protection, and regulatory frameworks is an advantage., • Excellent organisational and administrative skills with attention to detail., • Strong research and analytical ability., • Effective communication skills (written and verbal)., • Proficiency in Microsoft Office Suite and document management systems., • Ability to handle confidential information with integrity and discretion. Personal Attributes • Proactive, detail-oriented, and able to work independently., • Strong problem-solving and critical-thinking skills., • Ability to prioritise multiple tasks and meet deadlines., • Team player with a collaborative attitude. Salary & Benefits • Competitive salary
• Collect, clean, and validate large datasets from multiple structured and unstructured sources., • Develop and maintain data pipelines using SQL, Python (Pandas, NumPy), and data integration tools., • Perform statistical analysis and exploratory data analysis (EDA) to identify trends, anomalies, and insights., • Support the design and implementation of predictive models and machine learning algorithms using Python (scikit-learn, TensorFlow, PyTorch) or R., • Create and maintain interactive dashboards and visual reports using Power BI, Tableau, or Qlik., • Collaborate with senior analysts to translate data insights into business recommendations., • Apply data governance and information security best practices throughout all analysis., • Use version control tools (Git/GitHub) and follow agile working methodologies where appropriate., • Contribute to documentation, data cataloguing, and reproducibility of analytical work., • Present findings clearly to non-technical stakeholders through visual storytelling and reports.
We’re looking for a motivated and hardworking junior who is passionate about becoming a hairdresser. This is a fantastic opportunity for someone eager to learn, grow, and build a successful career in the industry. As part of the role, you’ll also be responsible for keeping the salon clean and tidy at all times. We offer starting pay at the current government minimum wage, with opportunities to progress as your skills and experience grow. If you’re ambitious, enthusiastic, and ready to work hard to achieve your goals, we’d love to hear from you!
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic, high-performing team. This role is ideal for early-career professionals with 1–2 years of experience or strong academic foundations in data analytics or related fields. You will be responsible for interpreting data, generating insights, and developing data products to drive strategic decision-making. The successful candidate will demonstrate strong technical capabilities, analytical acumen, and the ability to translate complex datasets into actionable business intelligence. Key Responsibilities Extract, clean, and analyse large datasets to uncover meaningful trends and patterns. Design, build, and maintain dashboards and reports using Power BI and Tableau. Collaborate with stakeholders to capture data requirements and deliver insights aligned with business objectives. Automate recurring processes using Excel Macros, VBA, or Bash scripting to improve efficiency. Develop and maintain databases using Microsoft SQL Server and Oracle, ensuring data integrity and accessibility. Support ad hoc analysis and reporting needs across departments. Document workflows, data dictionaries, and procedures to ensure data governance and clarity. Participate in the Software Development Life Cycle (SDLC), contributing to requirements gathering, testing, and implementation. Perform advanced statistical analysis and data manipulation using Python or R (desirable). Contribute to the design and optimisation of database schemas and data pipelines. Required Experience & Skills 1–2 years’ experience in a Data Analyst or similar role, or strong academic background in a quantitative discipline (e.g., Mathematics, Computer Science, Economics). Proficient in SQL for querying, joining, and transforming data. Advanced Excel skills, including pivot tables, lookups, and data wrangling techniques. Proficient with data visualisation tools such as Power BI or Tableau. Excellent analytical and critical thinking skills with high attention to detail. Strong verbal and written communication skills — able to explain data-driven findings to non-technical stakeholders. Highly collaborative team player with a proactive mindset and willingness to learn. Desirable Hands-on exposure to Python or R for data modelling, automation, or analytics. Familiarity with cloud platforms, ETL tools, or workflow orchestration frameworks. Ability to self-manage workload and prioritise tasks in line with changing business needs.