Data Scientist - FinTech/AI/Machine Learning - Canary Wharf

at Yasna Startup Academy in London

Company Introduction:

Envision 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 the future free from the complexity of the payments eco-system and 100% peace of mind guaranteed for our customers from the risk of growing online fraud.

Envision is building a digital payments and fraud prevention platform for small and medium-sized online and mobile businesses. Our platform is a simple, secure and affordable way for the businesses to integrate their online stores, mobile apps to receive payments from all major credit/ debit cards. We make integration very simple with clear documentation and clean APIs so any business can integrate their website or apps to our platform. We also offer secure payment transactions and 100% chargeback guarantees giving our customers complete peace of mind to grow their business. Growth of global eCommerce requires an affordable, easy to integrate, secure and open to all payments platform, especially in emerging markets where Envision is establishing a presence as part of our strategy.

Job Description:

This is a unique opportunity to work as a Data Scientist along with our expert team. We 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.

3+ years’ experience in Artificial intelligence/ Machine learning is required.

Data Scientist Job Responsibility:

• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company
• Data mining using state-of-the-art methods
• Ability to research, design and implement self-learning algorithms
• Ability to clearly communicate the designed algorithms, data flows and outcomes
• Develop models for fraud detection for various payment transactions and social media content
• Strong skills in statistics, machine learning and/or deep learning
• Demonstrated experience with development of high performance models used for real-time processing
• He/she should be comfortable working attentively with developers with the willingness to both teach others and learn new techniques
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems with constant performance tracking
• Extensive experience with designing REST API
• Knowledge of Spark, Kafka, Java, Golang
• Experience with Docker containers
• Familiar with Unix operating systems (Ubuntu)

For more information on Envision please visit
Envision Team

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Published at 08 Sep 2017
Expires on 08 Nov 2017

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