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  • Data Science Placement Programme
    Data Science Placement Programme
    7 hours ago
    £25000–£45000 yearly
    Full-time
    Epsom

    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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  • Wi-Fi Sales Engineer EMEA
    Wi-Fi Sales Engineer EMEA
    12 days ago
    £65000 yearly
    Full-time
    London

    Why Wyebot? Wyebot is a fast-growing and dynamic company, helping organizations optimize their business-critical Wi-Fi networks. We are currently seeking an experienced Sales Engineer to join our EMEA team. This is a fantastic opportunity to join a company with leading edge technology and scaling for rapid growth. With a collaborative and forward thinking culture we offer a great chance to join a dynamic environment with huge potential for future growth. 🌟 About the Role We are seeking a highly motivated and technically proficient Wi-Fi Sales Engineer to join our dynamic sales team. This role is the critical link between our cutting-edge wireless technology and our customers' business needs. The ideal candidate will possess deep expertise in Wi-Fi and networking technologies, coupled with excellent communication and presentation skills, to effectively support the sales cycle from initial contact through trial and post-sales engagement. 📝 Key Responsibilities • Technical Sales Support: Act as the primary technical resource for the sales team. Participate in sales calls, provide product demonstrations, and lead technical presentations to prospects and existing customers., • Customer Trial Support: Provide dedicated technical support and consultation to customers throughout the trial and proof-of-concept (PoC) phases, ensuring successful installation, configuration, and operation of the wireless solution., • Post-Sales Technical Assistance: Act as a technical escalation point post-sale, ensuring smooth handover to the implementation team and offering advanced support for complex issues during the initial deployment and stabilization period., • Proof-of-Concept (PoC) & Pilot Management: Plan, execute, and document successful Proof-of-Concept trials and pilot projects, ensuring the proposed solution meets customer performance metrics and expectations., • RFP/RFI Response: Develop detailed, technical responses to Requests for Proposals (RFPs) and Requests for Information (RFIs)., • Competitive Analysis: Stay informed about competitor products, market trends, and industry developments to effectively position our solutions and overcome technical objections., • Knowledge Transfer: Conduct technical training and workshops for external partners on new product features, deployment best practices, and troubleshooting., • Customer Relationship Management: Build and maintain strong, long-lasting technical relationships with key customer stakeholders and technical staff. 🎓 Qualifications Required: • Education: Bachelor’s degree in Computer Science, Electrical Engineering, Telecommunications, or a related field, or equivalent practical experience., • Experience: Minimum of 5+ years of experience in a pre-sales, sales engineering, network engineering, or solutions architect role, specifically focused on enterprise Wi-Fi and wireless networking., • Technical Acumen: Deep working knowledge of Wi-Fi standards (e.g., 802.11, a/b/g/n/ac/ax), RF fundamentals, network protocols (TCP/IP, VLANs, QoS), and Wi-Fi security protocols (WPA/WPA2/WPA3, 802.1X and authentication methods)., • Highly Desirable: Familiarity and technical experience with multiple leading Wi-Fi vendor platforms (e.g., Cisco/Meraki, Aruba, Juniper/Mist, Ruckus, etc.)., • Highly Desirable: Professional-level networking certification (e.g., CWNP, CCNA/CCNP Wireless or equivalent vendor-specific certifications like Aruba, Cisco Meraki, etc.)., • Highly Desirable: Deep understanding of 802.1\text{x} network access control (NAC) and integration with RADIUS/AAA servers., • Bonus: Familiarity with cloud-managed networking platforms., • Bonus: Familiarity or experience with site surveys and RF planning tools (e.g., Ekahau)., • Bonus: Experience with advanced network security solutions beyond Wi-Fi (e.g., Next-Generation Firewalls, IDS/IPS)., • Bonus: Fluency in additional languages such as French, Spanish or German would be an advantage. 📊 Performance Metrics (KPIs) • Achievement of assigned sales quota in collaboration with the Account Manager., • Successful conversion rate of PoCs/pilots to closed deals., • Customer satisfaction scores for technical engagements., • Quality and accuracy of technical proposals and SOWs (Statements of Work). 📍 Work Environment & Travel • This is a remote position based in the EMEA region (Europe, Middle East, and Africa)., • The primary function of product demonstrations and technical consultation will be conducted remotely from a home office., • Ability to travel is required for key customer meetings, industry events, or internal team meetings, but will not exceed 25% within the EMEA region. Remuneration • Base Salary: £65,000 p.a. Performance Related Bonus: £20,000 p.a., • Total OTE: £85,000 p.a.

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  • Senior Account Executive – SaaS (Media & Enterprise Accounts)
    Senior Account Executive – SaaS (Media & Enterprise Accounts)
    1 month ago
    £42000–£46000 yearly
    Full-time
    London

    Are you an experienced SaaS professional with a passion for building strong client relationships and driving growth across global media and enterprise accounts? We’re looking for a Senior Account Executive to join our consulting team and play a key role in expanding our customer base across multiple regions. What You’ll Do Identify, engage, and acquire new customers within the media and enterprise sectors. Manage existing client relationships, ensuring consistent value delivery and long-term satisfaction. Develop account strategies to achieve sales and retention goals. Collaborate with technical and consulting teams to design and present tailored SaaS solutions. Maintain accurate records and pipelines using CRM tools such as Salesforce. Communicate effectively across internal teams using Slack and other collaboration tools. What We’re Looking For 10+ years of experience in the SaaS industry, preferably with media and enterprise clients. Proven track record in business development and account management. Technical background (e.g. degree in Engineering, Computer Science, or related field). Fluency in English, Spanish, and Portuguese (written and spoken). Strong understanding of CRM systems (Salesforce experience required). Excellent communication, negotiation, and presentation skills. Strategic thinker with hands-on execution ability. Why Join Us Work with a dynamic, multicultural team in a fast-growing consulting environment. Engage with leading enterprise and media clients across global markets. Competitive compensation package and flexible work options. If you’re a driven professional who thrives at the intersection of technology, media, and business strategy, we’d love to hear from you. Job Type: Full-time Benefits: Additional leave Work from home Work Location: Remote

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  • Business Analyst
    Business Analyst
    2 months ago
    £32000–£39000 yearly
    Full-time
    Hayes

    Summary: Lexen Digital is seeking a Business Research Analyst who will deliver rigorous business research, insight and intelligence to support our strategic growth and service innovation. The successful candidate will work closely with our leadership team and consulting unit to identify market opportunities and business risks. Key Responsibilities: 1. Conduct primary and secondary research on industry trends, markets, competitors, customers and business models., 2. Analyse quantitative and qualitative data to produce actionable insights and strategic recommendations., 3. Prepare research reports, presentations and dashboards for senior stakeholders., 4. Monitor changes in technology, regulation or business environment and advise on implications for Lexen Digital., 5. Collaborate with cross-functional teams (e.g., digital solutions, consulting, sales) to integrate research findings into business planning. Essential Skills & Experience: 1. Master’s degree (or equivalent) in Business, Economics, Marketing, Social Sciences or related discipline., 2. Proven experience (1-2 years) in business research, market intelligence or strategic consultancy., 3. Strong analytical skills, comfortable working with data and interpreting it for decision-making., 4. Excellent written and verbal communication skills; ability to produce concise reports and charts., 5. Proficiency with tools such as Excel (including pivot tables, formulas), and preferably some exposure to BI/visualisation tools (Power BI, Tableau) or statistical software. Desirable Skills: 1. Experience in digital / IT services or technology-driven businesses., 2. Familiarity with competitive intelligence practices & business modelling., 3. Ability to work independently and take initiative in less defined research areas.

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