Shell started operations in the United Kingdom more than 110 years ago. Since then we have grown into a leading innovative oil and gas company that rewards its employees by investing heavily in their careers and learning. Our people are our greatest asset, and our commitment to your career will see you thrive in a work environment that offers an industry-leading development programme. When your ideas travel, Shell will benefit and innovation will thrive. Shell has a key role to play in helping meet the UK’s growing energy demand, whilst using innovative technologies to develop cleaner energy. We are the largest FTSE 100 company in the UK by market capitalisation, and make a significant contribution to the UK economy. As well as processing 35% of the gas coming into the UK, we serve more than four million customers at our filling stations each week. Shell employs some 6,400 skilled staff as well as many contractors.

Job Description Job Description:

Within Royal Dutch Shell 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 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) practitioner within Shell’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 speech recognition, speech synthesis, machine translation, grammar checking, text mining and other CL applications. They will therefore need a good understanding of both programming and linguistics. 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 Shell’s existing software landscape.

Job Purpose

Responsible for development & delivery of CL solutions in an agile fashion to the business in order to provide insights & improvement to business processes. CLs use their analytical ability to find and interpret rich natural language (NL) data sources; manage large amounts of natural language data; merge NL data sources; ensure consistency of modelled NL datasets; create visualizations to aid in understanding NL data; build mathematical models using the NL data; and present and communicate the NL data insights/findings and produce and present results with dashboards.


Accountable for preparing and Identifying Requirements for a CL Data Science Service
Accountable for preparing a Work Scope for a CL Data Science Service
Accountable for executing the CL Data Science Work Scope
Accountable for Final Review of the CL Data Science Service/Work
Accountable for the Closeout, Quality Review and Customer Satisfaction Survey

Within the defined scope of the Analytics discipline:
Accountable for defining Objectives and Strategies for Information and Data exploitation through CL analytics
Accountable for defining and maintaining Policies and Standards for Information and Data analytics
Accountable for developing Roles, Responsibilities and Competencies for Information and Data analytics
Accountable for development and execution of Enterprise Improvement Plan for Information and Data analytics

The Senior Computational Linguist will report into the Data Science Lead as member of the Data Science team
In some projects the Senior Data Scientist will have the role as Project Manager with a junior colleague doing parts of the actual work
Works in a Lean development environment which requires the individual to be self-driven, take decisions independently and be flexible in order to cater to demand
For specific projects the Senior Computational Linguist reports into the assigned Project Manager

Special Challenges:

Building constructive and trusting relationships with mostly remote business stakeholders
Dealing with challenges in data acquisition from other parts of the business
Introducing the new area of CL to a number focused company
Dealing with a multinational and multilingual work environment




Bachelor or master degree in computer science, psychology or statistics
PHD in relevant domain is strongly preferred
Experience in data science delivery in a corporate environment is desirable
Must have strong technical skills to develop advanced analytics algorithms/models.
Skilled in analytics
Skilled in data design integrity
Skilled in value exploitation
Commercial skills are an advantage
Have interpersonal, communication, facilitation and presentation skills
Job Experience Requirements
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 requires 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)
Commercial skills are an advantage
Have interpersonal, communication, facilitation and presentation skills

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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