Data Scientist

  • £70,000 - £80,000
  • London, England, United Kingdom
  • Permanent, Full time
  • Everisconsultancy
  • 26 Sep 16

This is an excellent opportunity to join a Multinational Consultancy, with 15,000 employees and Offices Worldwide. At Everis Consultancy UK the Energy & Utilities Sector is growing fast and we are looking for strong Data Consultants to join us on our journey on a permanent basis. We are looking for candidates that have a background in an Energy Commodity Trading / Quantitative Analytical environment to provide industry leading data and analytic solutions. This role would suit a senior consultant who is looking to move into the big data arena utilising their energy commodity and quantitative knowledge.

Role Profile:

  • Design and deliver solutions to utilise data for improved performance and customer engagement
  • Develop prototype algorithms, including PoC demonstrations
  • Outline production requirements and produce scalable code for these models
  • Work with end clients to scope, develop and deliver their specific needs
  • Documentation of the on-going activities.

 

Skills Required:

  • Machine learning or statistical techniques
  • Ability to write production quality code for large data sets
  • Experience in a combination of the following modelling methods: Linear Regression, Partial Least Square Regression, Logistics Regression, Survival analysis, Repeated measures analysis, Principle component analysis, Decision tree, Support Vector Machine, k-means clustering, Artificial Neural Networks, Bayesian statistics
  • Understanding of IT Projects Lifecycle
  • Financial / Trading background
  • R or Python Languages

 

Candidate Profile

  • Excellent Database management, data mining, data extraction, data processing, data manipulation, data analytics.
  • Excellent SQL skills
  • Excellent knowledge of ETL tools
  • Knowledge in the areas of data analysis and efficient on databases
  • Needs to be able to work in a fast-paced environment
  • Hands-on Analytical capabilities
  • Able to communicate well with a wide range of colleagues - in writing and verbally.
  • Focus to detail, It will require accurate testing of reporting data.
  • Proactive mind-set for suggesting improvements of the tool and procedure.
  • Mathematics Degree preferably with strong Computer Science background
  • An ability and passion to develop new skills and learn new computer languages quickly