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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.

How about using your talent to save a life? In Lynxight we literally save lives by equipping pool lifeguards with an AI-based companion that's revolutionizing water safety. Our innovative technology enhances lifeguards’ response times and provides pool management with crucial operational insights, setting high standards in the aquatic leisure industry. With a growing global presence across renowned fitness, leisure, and hospitality sectors, and strategic partnerships aimed at advancing water safety, Lynxight is at the forefront of technological breakthroughs. Are you up for the challenge? Location: Remote (UK) Department: Operations / Customer Success Employment Type: Full-Time (day rate) About Lynxight Lynxight is a cutting-edge technology company specializing in AI-powered video analytics for aquatic environments. Our mission is to create safer, smarter, and more responsive aquatic facilities through intelligent surveillance systems and actionable data insights. We partner with public and private institutions globally to elevate safety standards and operational efficiency. Role Overview We are seeking a highly motivated and technically skilled Technical Support Engineer to join our growing team. As the first point of contact for our UK clients, you will be instrumental in diagnosing and resolving technical issues, supporting the smooth implementation of projects, and maintaining the high standards of customer satisfaction Lynxight is known for. This role requires a proactive and solution-oriented mindset, a self-starter with excellent communication skills, and the ability to troubleshoot complex hardware-software systems in real time. Key Responsibilities · Play a crucial role in delivering hundreds of parallel implementations for a diverse range of customers. · Support the remote technical teams to diagnose, troubleshoot, and resolve technical issues with existing sites and those in the project delivery phase. · Act as the primary technical in-person liaison for UK-based clients and partners. · Develop the technical skills required to deputise for the implementation engineers as required. · Support customers through system setup, calibration, and routine maintenance procedures as required. · Participate in the development of support and implementation best practices and knowledge base content. · Directly reporting to the Head of UK Customer Operations. Qualifications / skills · 2+ years of experience in technical support, IT, or a related technical customer service role. · Strong technical background in IT, with knowledge of hardware, software, and networking. · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (preferred). Equivalent experience and qualifications would be considered. · Proficiency with Windows/Linux operating systems and command-line tools · Excellent problem-solving and analytical skills. · Customer-focused attitude with a commitment to providing exceptional service. · Self-motivated with the ability to work independently and manage multiple priorities. · Ability to travel frequently and work on the road, including overnight stays. · Previous experience working with international teams or startups an advantage · Proven right to work in the UK. What We Offer · Longterm contract. · Remote-first work culture with flexibility. · Opportunity to work with a mission-driven, fast-growing team at the intersection of AI and public safety. · Career development opportunities and direct involvement in shaping customer success strategies. If you love tech and people, excel at juggling multiple challenges at once, and are eager for a place where you can truly grow—then you belong with us!

Job Title: Data Science Intern Location: Work From Home (WFH) Indian students currently pursuing graduation (final-year preferred) Duration: [e.g., 1-3 Months] Start Date: [Mention Date or "Immediate Joiners Preferred"] About the Role: We are offering an exciting opportunity for freshers to kickstart their career as a Data Science Intern. This remote internship will provide hands-on experience in data analysis, machine learning, and working with real-world datasets. Key Responsibilities: Work on collecting, cleaning, and analyzing datasets. Perform exploratory data analysis and generate reports. Develop and test machine learning models. Present data insights and contribute to live projects. Collaborate with team members in a virtual environment. Eligibility: Qualification: Fresher (recent graduates or final-year students welcome). Education: Pursuing or completed a degree in Computer Science, Data Science, Statistics, or related fields.

We are seeking a highly competent and professional Personal Assistant to provide dedicated support to our CEO. This pivotal role ensures the smooth operation of the CEO's activities, enabling them to focus on strategic priorities. Key Responsibilities Executive Support: - Provide administrative, personal, and event-related support to the CEO - Manage the CEO’s calendar, scheduling appointments and prioritising time effectively - Screen, prioritise, respond to and delegate email and phone inquiries, ensuring appropriate follow-up Document, Data and Financial Management: - Draft, create, and send client quotes, proposals, and invoices - Automate repetitive tasks, manage data, and potentially even assist with web development or software projects - Reconcile payments, track accounts, and confirm invoice payments with senior management Event and Project Coordination: - Support the planning and execution of key meetings, events, and client engagements - Contribute to ad-hoc projects aligned with the company’s strategic objectives Other Duties: - Assist with sales reports, accounts preparation, and other administrative tasks - Support business growth initiatives, such as social media management and search engine optimisation, when needed Competencies Data science skills: Ability to code in R and or Python Language Proficiency: Written and spoken proficiency in Chinese, Malay, and English Intercultural Fluency: Comfortable working with diverse, global stakeholders and navigating cultural differences effectively. Deep cultural understanding across Central and East Asia Teamwork: Able to work collaboratively in a fast-paced, dynamic environment Independent Problem-Solving: Solutions-focused with a proactive approach to challenges Organisational Skills: Highly organised with exceptional attention to detail and time management Adaptability: Comfortable managing last-minute changes and shifting priorities Confidentiality: Maintains discretion, tact, and diplomacy in handling sensitive information Professionalism: Demonstrates excellent interpersonal and communication skills Required Qualifications Education: - GCSE or equivalent (preferred) Experience: - A minimum of two (2) years of professional experience as an assistant to a senior executive or founder, ideally in a start-up or small business setting Skills: - Positive, can-do attitude with the ability to handle last-minute changes - Proven ability to establish, maintain, and enhance professional relationships with a wide range of stakeholders - Advanced IT proficiency, including Python or R, Microsoft Word, Excel, and familiarity with internet tools Languages: - Excellent knowledge of Chinese (written and spoken), and good working knowledge of English and at least one other East Asian language Desirable Qualifications - Familiarity with CRM and bookkeeping software - Knowledge of social media marketing and search engine optimisation Role Details Location: London (on-site) Hours: 37.5 hours per week, with flexibility for occasional evening or weekend hours Type: Permanent, Full-Time Why Join Us? This is an exciting opportunity to play a key role in a growing consultancy with a global impact. If you thrive in a dynamic, multicultural environment and are ready to support a visionary leader, we’d love to hear from you. Application Process To apply, please submit your CV and a cover letter detailing your suitability for the role. Applications will be reviewed on a rolling basis.

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.

Company: BETA CAPITAL MANAGEMENT (UK) LIMITED Location: Unit 228 Spaces Oxford Street, Mappin House, 4 Winsley Street, London, England, W1W 8HF Salary: £40,000 per annum Job Type: Full-Time About Us: BETA CAPITAL MANAGEMENT (UK) LIMITED is a well-established property consultancy firm offering expert services in the real estate sector. We are looking for an IT Consultant to join our growing team and provide strategic technology support to enhance our business operations and client services. Job Description: As an IT Consultant, you will be responsible for overseeing and enhancing the company's IT infrastructure, ensuring seamless technology operations and providing technical expertise to internal teams. The successful candidate will help optimize business processes and develop IT solutions that align with the company's goals. Key Responsibilities: Evaluate and implement technology solutions that align with the company’s business objectives. Oversee the maintenance and management of IT systems, including networks, hardware, and software. Collaborate with internal teams to identify opportunities for technology-driven improvements. Provide technical support and troubleshooting for internal teams and clients. Advise on data security, backup, and disaster recovery strategies. Monitor and assess the effectiveness of IT systems and recommend updates or improvements. Manage IT projects from conception to implementation, ensuring timely delivery and alignment with business needs. Requirements: Bachelor's degree in Information Technology, Computer Science, or a related field. Proven experience as an IT consultant or in a similar role. Strong understanding of IT infrastructure, networks, and business applications. Familiarity with project management and IT development lifecycle. Excellent problem-solving and troubleshooting skills. Ability to communicate technical concepts to non-technical stakeholders. Benefits: Competitive salary of £40,000 per annum. Opportunities for career growth and professional development. Collaborative and supportive work environment. Company pension plan. Annual leave and additional benefits.