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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.

As a customer service manager, you'll make sure that the needs of customers are being met or exceeded. Your aim is to provide and promote excellent customer service throughout the organisation you work for. You'll manage the customer service team, making sure that service standards are being met and problems are resolved. You may work at various levels, from head office to the front end of the business. As a customer service manager, you'll need to: - provide help to customers using your organisation's products or services. - Communicate courteously with customers by telephone, email, letter and face-to-face. - Investigate and solve customers' problems, which may be complex or long-standing, that have been passed on by customer service assistants. - Handle customer complaints or any major incidents, such as a security issue or a customer being taken ill. - Issue refunds or compensation to customers. - Keep accurate records of discussions or correspondence with customers. - Analyse statistics or other data to determine the level of customer service your organisation is providing. - Produce written information for customers, often involving the use of computer packages and software. - Write reports and analyse the customer service that your organisation provides. - Develop feedback or complaints procedures for customers to use. - Improve customer service procedures, policies and standards for your organisation or department. - Meet with other managers to discuss possible improvements to customer service. - Manage staff recruitment and appraisals - depending on the size of the organisation these tasks may be carried out by human resources. - Train staff to deliver a high standard of customer service. - Lead or supervise a team of customer service staff. - Learn about your organisation's products or services and keep up to date with changes. - Keep ahead of developments in customer service by reading relevant journals, going to meetings and attending courses.

Data Collection & Analysis: Gather data on consumer demographics, preferences, needs, and purchasing habits through surveys, interviews, focus groups, and data analysis tools. Market Trends Identification: Monitor and analyze market trends, competitor activities, and industry changes to identify potential market opportunities or risks. Report Generation: Develop detailed reports that provide insights into market conditions, sales, and customer behavior to guide business decisions. Data Visualization & Presentation: Utilize statistical tools and software to interpret data, create data visualizations, and present findings to management in a clear, actionable format. Customer Insights Development: Collaborate with marketing and product development teams to translate customer feedback and market insights into product or service improvements. Forecasting & Strategy Support: Conduct forecasting and predictive analysis to support long-term strategic planning and decision-making.