A Graduate Data Scientist is required by my client, on a permanent basis, please see below for furhter detail.

Location: Abingdon, Oxfordshire - United Kingdom

Job Summary:

The graduate Data scientist will utilize a variety of data management analysis tools along with applied data analytics approaches to explore and predict data solutions
The role is for a data scientist to work on a number of complex and challenging Oilfield domain data projects covering Reservoir Simulation and Field Development Planning. The successful candidate will apply data science and machine learning approaches and tooling to automate the use of data to augment workflows in these domains, and to identify opportunities and insights from the raw data.
The candidate will also be expected to create and grow a strong data science proficiency in the technology centre, as well as work with other groups to ensure consistency with application and use of data science solutions.
The individual must be able to understand conceptually a new problem described to them and to then successfully select and apply the optimum appropriate data science approach. This will also require the data scientist to own the definition and maturation of related requirements for the engineering projects and see them through to successful delivery and release to operations.

Responsibilities:
*Mathematical methods & techniques
*Techniques and algorithms related to model predictive analysis
*Experience of Data Science tooling e.g. R, SQL, Hadoop, Hive
*Software Development experience e.g. C++, Java, Delphi, Python
*Test automation including regression testing

Experience of working in Agile development environment
*Telemetry capture e.g. Google Analytics
*Data visualization e.g. Tableau, Spotfire
Source code management tooling e.g. Git

Essential skills for the role:
*Advanced level competency in C++ programming

Qualifications and experience: Master's degree in Applied Mathematics, Statistics, Computer Science or equivalent experience. A background in computer science is preferred for this role.

If you feel you are good fit for the role, please send in your CV for immediate review.