About Envision\nEnvision is a FinTech start-up company based at level 39 Canary Wharf London, Europe’s largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the London’s fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.\n\nEnvision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.\n\nSpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.\n\nWe are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.\n\nWe are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.\n\nThe role\n\n• 1 Data Scientist\n\nWe are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.\n3+ years’ experience in Artificial intelligence/ Machine learning is required.\n\nData Scientist Job Responsibility:\n\n• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company\n• Data mining using state-of-the-art methods\n• Ability to research, design and implement self-learning algorithms\n• Ability to clearly communicate the designed algorithms, data flows and outcomes\n• Develop models for fraud detection for various payment transactions and social media content\n• Strong skills in statistics, machine learning and/or deep learning\n• Demonstrated experience with development of high performance models used for real-time processing\n• Comfortable working with developers with the willingness to both teach others and learn new techniques\n• Processing, cleansing, and verifying the integrity of data used for analysis\n• Creating automated anomaly detection systems with constant performance tracking\n\nDesirables\n• Extensive experience with designing REST API\n• Knowledge of Spark, Kafka\n• Experience with Docker containers\n• Familiar with Unix operating systems (Ubuntu)\n\nPersonal Skills\n• Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.\n• Success mindset.\n• Proactive and creative self-starter.\n• Problem solver with positive mental and learning attitude.\n• Team player with strong interpersonal, communication skills.\n• Can work in small team with a vision to grow.\n\nPlease check http://www.envisionworld.co for more information or contact us at
[email protected]\n\nWe thank you in advance for your interest!\n\nThe Envision Team \n\nPlease mention the words **ALL TYPICAL FINISH** when applying to show you read the job post completely (#RMy4yMi40Mi4xNA==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to JavaScript, React, Mobile, Machine Learning, Data Science, Video, Finance and Non Tech jobs that are similar:\n\n
$65,000 — $120,000/year\n
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