World Leading Global Energy Oil Company has an exciting opportunity for a Senior Computational Linguist to join this Technical and Innovation IT team which is working on leading-edge new apps, ways of working and dynamic IT projects.

Within this Group there is a huge amount of data collected in the form of text, or so-called unstructured data. This ranges for example from free text entries in maintenance databases to reports written in the business. The Senior Computational Linguist (CL) within the Advanced Analytics CoE Data Science team will be an expert CL and Natural Language Processing (NLP) practitioner that enables the processing and analysis of text not just from very diverse parts of the business but also written by the multinational and multilingual workforce.

The Senior Computational Linguist will be the senior Computational Linguistics (CL) and Natural Language Processing (NLP) practitioner within the Group’s broader Data Science (DS) team. As a Senior Data Scientist, they will be responsible for co-developing a CL curriculum (with the Lead Data Scientist) and understanding the latest CL skill-sets, tools and techniques.

As a practitioner, they must be an expert developer of computer systems that deal with human language and that can perform tasks such as text classification, topic identification, natural language search, document summarization, text mining and other CL applications.

They will therefore need a good understanding of both programming and linguistics, with knowledge of the state-of-the-art and practical limitations of a wide range of NLP techniques and algorithms. They will use these methods in a broader sense, to solve business problems by working with Business Analysts and business SME/users to assess opportunities and review expected outputs.

They will be responsible for delivering the analytics aspects of projects like developing analytical algorithms, and analytical tools, and for the quality of the offered solutions. They will need to manage all Data Science aspects of their own projects.

They will be able to build solutions that are useful to the end-users, and scalable within the groups existing software landscape.




You need to be:

Skilled in data design integrity
Skilled in value exploitation
Commercial skills are an advantage
Have interpersonal, communication, facilitation and presentation skills
Candidates for the position should have experience in applying CL analytical methods to real data. That can also be by having done projects during their studies.

Position also needs strong business knowledge of:

Hands-on code development (R, Python, MatLab, SAS, relevant software in CL)
Use of advanced analytics technology in the context of application deployment
Knowledge of data source extraction (ETL) is desirable (HANA, SQL, Oracle, SharePoint, Hadoop, Spark)
Experience of working with Graph Databases (e.g. neo4j, GraphX) is desirable
Experience of NLP based Artificial Intelligent solutions (e.g. chatbots) is desirable
This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely.

Specific requirements:

Duration: 12 Months Initially

How to apply:

Please mention NLP People as a source when applying


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