54 Best standing Jobs in Edinburgh (February 2025)

Join Our Mission to Transform Lives – Be a Field Sales Advisor for a Revolutionary Tobacco Alternative! £15.33/hour Basic + Upto £3,430 commission + Travel + Bonus and Incentives Are you ready to make a real impact and help adult smokers discover a healthier, more affordable alternative? Join our team in Scotland and be part of a groundbreaking movement with our scientifically proven heated tobacco product that's 95% less harmful and a fraction of the price of traditional cigarettes. Requirements : A personal vehicle is REQUIRED for daily travel to different store locations. You must be over 21 years old to apply. You need to be available to work a minimum of 30 hours per week. You must have a minimum of one year sales/customer service experience in the UK If you fit the role description and requirements, Apply today to schedule a time today to discuss the role further. About the Role: As an IQOS Multi-Category Coach (MCC), you’ll engage directly with adult smokers, educating them on healthier alternatives like IQOS heated tobacco devices. You’ll work at pop-up stands near tobacco aisles in stores like Morrisons and Sainsbury’s, offering personalized guidance and promoting awareness of IQOS as a less harmful alternative to traditional smoking. What’s in it for you? Customer Engagement: Work in supermarkets, interacting with customers to promote IQOS. Product Education: Provide detailed information on product features, benefits, and usage. Pop-Up Stand Management: Set up and manage a pop-up stand daily in different locations (up to 1-hour travel), near the tobacco aisle. Uniform: Uniform provided for use during work hours. Paid Training: Five days of paid training three at Philip Morris headquarters in London (travel and accommodation covered should you live further than two hours away) and two further days shadowing locally. Compensation and Benefits: Pay Rate: £15.33 per hour (basic wage). Commission (OTE):Average Monthly Commission: £917/month. High Performers: £3,430/month. Saturday Bonus: Earn £50 EXTRA per Saturday AND Sunday shift. Schedule: 30 hours per week, working 5-6 days, Monday to Sunday, with 6-hour shifts. Bonuses: Additional earnings for completing 5-6 shifts/week and long-term performance bonuses. Expense Coverage: 44p per mile for petrol and parking costs covered. Payment Terms: Paid monthly in arrears through PAYE; travel expenses reimbursed on the 15th of the following month. Ready to Make a Difference? If you’re passionate about creating a healthier future for adult smokers and excited about the opportunity to earn while making an impact, we want to hear from you! Apply now and become part of a team that’s changing lives for the better.

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Trainee Data Scientist - No Experience Required 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.

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