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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.
A Sales Administrator in the automotive industry plays a key role in supporting the sales team and ensuring smooth operations within the sales department. Their responsibilities often include administrative tasks, coordinating with other departments, and helping drive the sales process forward. The automotive industry, which includes vehicle manufacturers, dealerships, parts suppliers, and related services, demands an organized and detail-oriented individual in this role. Key Responsibilities: Sales Support: Assist the sales team with preparing and processing quotes, sales orders, and contracts. Maintain customer records, ensuring accurate and up-to-date information in CRM systems. Follow up on sales leads and customer inquiries, providing timely responses and support. Order Management: Manage the order lifecycle, from order creation to delivery, ensuring all documents are correct and processed efficiently. Liaise with inventory management or manufacturing teams to confirm product availability and lead times. Track order status and provide updates to customers as needed. Customer Communication: Act as a point of contact for customers, handling inquiries, complaints, and providing solutions as needed. Coordinate between customers, the sales team, and other departments (logistics, finance, production) to ensure smooth operations. Documentation & Reporting: Prepare sales reports, track KPIs (Key Performance Indicators), and ensure that sales data is accurately recorded and reported. Maintain up-to-date records of customer interactions and sales activities. Assist in preparing presentations or reports for management, summarizing sales performance, forecasts, and market trends. Inventory and Supply Chain Coordination: Work with the supply chain and logistics teams to track inventory and ensure timely delivery of automotive products (vehicles, parts, accessories). Monitor stock levels and help manage the ordering of parts or vehicles when needed. Coordination with Finance: Ensure that all invoicing, credit checks, and payment processing related to sales orders are completed promptly. Assist the finance department with customer account queries and follow up on overdue payments. Market & Product Knowledge: Stay updated on the latest industry trends, product offerings, and competitive market dynamics to provide relevant insights to the sales team. Help identify opportunities for cross-selling or up-selling based on customer needs and preferences. Customer Relationship Management (CRM): Utilize CRM tools to track customer interactions, manage follow-ups, and ensure data integrity. Monitor customer satisfaction and work to maintain positive long-term relationships.