Engineer - Maths & Data Science

Job description

3103749
City

Cramlington
Career Level

Experienced
Relocation Assistance

No
Business

GE Oil & Gas
Business Segment

Oil & Gas Measurement & Controls
Function

Engineering/Technology
Country/Territory

United Kingdom
Postal Code

NE23 1WW
Role Summary/Purpose

Work as part of the Data Science team to deliver pipeline inspection data processing, analysis and reporting solutions. The role is focused on deriving Magnetic Flux Leakage (MFL) sizing model algorithms to provide, improve and simplify MFL tool Performance specifications.
Essential Responsibilities

·  Utilise signal processing techniques and Software tools to identify outlying data points and accurately measure magnetic signal parameters from machined defects.

·  Derive robust/accurate sizing model algorithms to predict detected defect dimensions and determine Performance specifications for detection and sizing.

·  Implementation of sizing model algorithms and vehicle configurations into Software architecture.

·  Support the Dig Verification process and any corrective actions from root cause analysis

·  Contribute to data science team algorithm development projects

·  Update relevant QA documents and DQA information

·  Update Oracle with System setting information for auto gain settings

·  Design database spools with appropriate machined defect classifications & dimensions to extend beyond contractual requirements

·  To provide advice on MFL tool builds and Performance specs to Sales/Commercial Operations.

·  Provide ongoing technical support and guidance to the Analysis and IE groups as required

·  Deliver client presentations as required
Qualifications/Requirements

·  Degree in Engineering, Science or equivalent technical discipline

·  Strong numerical skills used in an engineering context

·  Evidence of problem solving ability

·  Strong inter-personal and communication skills

·  Able to work unsupervised and as part of a team

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-EU/EEA candidates may not be appointed to a post if a suitably qualified, experienced and skilled EU/EEA candidate is available to take up the post, as the employing body is unlikely, in these circumstances, to satisfy the Resident Labour Market Test. For further information please visit the UK Border Agency website
http://www.ukba.homeoffice.gov.uk/visas-immigration/working
Desired Characteristics

·  Experience in the analysis of Inline Inspection (ILI) data

·  Skills in algorithm development from design and prototyping to delivery

·  Knowledge and experience of current and emerging machine learning/AI techniques

·  Software development experience

·  Oil & Gas industry experience
About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.