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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.

Job Title: Insurance Advisor Company: Supreme Financial Solutions LTD Location: United Kingdom (Self-employed, work remotely) About Us: Supreme Financial Solutions LTD is a network of experienced, professional, and talented individuals who provide exceptional customer experiences. We offer tailored financial solutions, including mortgages, commercial insurance, income protection, and more, to suit diverse client needs. As part of The Openwork Partnership, one of the UK's largest and longest-established financial advice and investment companies, we uphold the highest standards of compliance and client service. Role Overview: We are expanding our team and seeking motivated individuals to join us as Insurance Advisors. In this self-employed role, you'll have the flexibility to manage your own schedule while benefiting from a highly attractive, commission-based pay structure with weekly payouts. No prior experience is required, as comprehensive training will be provided. Key Responsibilities: Provide tailored advice on protection products, including life and critical illness cover, accident and sickness cover, and buildings/contents insurance. Engage with clients to understand their financial needs and recommend suitable insurance solutions. Build and maintain strong client relationships to ensure ongoing satisfaction and trust. Stay updated on industry trends and product knowledge to offer informed advice. Requirements: Excellent communication skills with a focus on active listening and empathy. Strong problem-solving abilities and a proactive approach to addressing client needs. Self-motivated and driven to achieve personal and professional goals. Ability to work independently and manage time effectively. What We Offer: Unlimited Earnings Potential: Your efforts are rewarded with a commission-based pay structure, allowing you to earn between £30K - £100K per annum. Flexible Working Hours: Control your own working day and be your own boss, allowing for a work-life balance that suits your lifestyle. Comprehensive Training: Access to first-class training and development programs to support your career progression. Supportive Team Culture: Join a warm, supportive, and friendly team that focuses on individual aspirations and maintains integrity in all interactions. Career Advancement: Opportunities to progress in protection, mortgages, or wealth management, with the potential to become an Area Sales Manager and lead your own team. How to Apply: If you're enthusiastic about starting a rewarding career in financial services and want to be part of a dynamic team, we'd love to hear from you.