Description du poste

Context :
Part of EDF Energy’s Research & Development centre, the Digital Innovation team is young, dynamic and ultra-curious. We are currently 12 people: developers, data scientists, designers and innovation experts. Our job is to not only keep a beady eye on the most cutting-edge digital technologies, but also to turn those technologies into proof of concepts that show how they could bring value to the business. As such, we operate like an in-house startup, but one that works on virtual and augmented reality, mobile apps, data visualisation, artificial intelligence, blockchain, bots, connected home and IoT... all wrapped in a beautiful layer of great user experience and visual design.
You’ll be equipped with a MacBook Pro, Slack, Google Apps, access to your own favourite tools (you choose), a collaborative open environment and an endless supply of new ideas and technologies. We are constantly learning: monthly half-day skill sharing sessions are supplemented with hack days, talks from academic researchers and meetups. There might be opportunities to visit EDF innovation centres for various events in the UK and abroad (recent ones include hackathons in Paris and Beijing).
The objective of the VIE is to contribute to existing and new data science and digital projects in collaboration with Customers, Renewables and Nuclear Generation business units. This would include, for example, setting up analytics environments, collecting data, developing models, delivering and presenting results via APIs or interactive dashboards to projects stakeholders.
You will work across the life-cycle of data science projects:
- Designing bespoke data storage and analytics environments for cloud and on premise environments
- Data preprocessing and cleansing
- Developing statistical analysis and machine learning algorithms
- Development on GPU and distributed environments
- Innovation and technology monitoring, looking for and experimenting with cutting edge tools and techniques
The person appointed should be able to demonstrate strong analytical skills along with a great level of English.
Required skills and experience:
- Applied machine learning (regression analysis, time series, supervised and unsupervised learning)
- Strong statistical and math background
- Relational database and SQL experience
- Strong data experience with either Python or R
- Experience with distributed computing (Spark/Hadoop) and cloud computing (AWS, Azure)
- Building thermal modelling skills are a plus
We give the greatest importance to being innovative, flexible and being keen to work within a team animated by a start-up spirit along with project management skills. An interest in energy and the energy industry would be an asset.