Full Stack Developer

at InformedActions in London

InformedActions mission is to help the world become more knowledgeable. We help companies make effective decisions, take efficient actions and avoid costly mistakes by applying historical and real time business data to our prescriptive applications. Our expert team has developed machine learning based algorithms which is able to predict when jobs are likely to occur and effectively schedule resources to complete these jobs.

We are a team of Software Engineers and Data Scientists based in London, Johannesburg, Cape Town and San Francisco.

We are looking for a Full Stack Developer to complement our small but smart team of data scientists in London. We wish to take a responsive approach, and use Angular JS or React to give us a common code base for mobile, tablet and desktop, with Python 2.7 in the backend.

We have a strong preference for this to be a full time role but we would consider part time applications. The successful candidate will spend most of their time in our London office.

Responsibilities:

You will be doing front end development, cloud infrastructure architecture & data science.
You will be working on Advanced Analytics and IoT projects for some of the largest Facilities Management and Social Housing organisation in the world as well as some other global public health projects.
Help the team with high level projects, initial analysis, proposals, idea generation and algorithm development.

Requirements:

Excellent programming skills in Javascript and Python (2.7) gained through either a research / academic project or experience in a commercial organisation.
Detailed knowledge of web technologies including JavaScript (Angular 2 or React), HTML5, CSS3.
Knowledge of Azure, AWS and GCP (Google Cloud Platform)
Experience of building applications / Web services / RESTful APIs in a commercial context.
Experience of writing front ends in Javascript in the context of a framework.
Experience using the following systems: Pandas, Git, Phabricator, Azure / AWS, Docker / Kubernetes, Flask / Django, CSS frameworks (bootstrap).


Nice to have:
Basic SQL knowledge (postgres)
Basic understanding of data science / stats / machine learning
Basic understanding of mapping services (e.g. google maps)

Benefits:

Competitive salary, based on experience.
Company share options.
Private Pension Scheme.
Quarterly team outings.
The most important one: be part of a small group of young and smart professionals building revolutionary products!


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Published at 10 Oct 2017
Expires on 31 Oct 2017