Data Scientist - Deep Learning Jobs in United Kingdom - 23631596

Job Description:

Data Scientist - Deep Learning

121097BR

London

United Kingdom

Job Description

Heres a great opportunity to use your technical skills to deliver deep learning models to multiple subsurface analysis projects This role will give you the opportunity to showcase your technical talent and passion for data Working in a diverse and multidisciplinary research team in London, Amsterdam and Houston, with all the career opportunities youd expect, and the chance to make a real difference to Shells performance

Where you fit in

Shell has been at the forefront of the digital revolution for decades, embracing new data sciences and technologies to transform how we perform right across the company

Youll be joining our Seismic Interpretation Research Team, with a focus on interpreting deep learning models applied to seismic data

Whats the role

As a Data Scientist, youll be designing and analysing deep learning networks to make them more efficient and better performing
Youll be accountable for delivering increased precision, recall and F1 scores for all HCSE projects You will also be actively leading on small projects, as well as supporting other leaders with the technical aspects of their projects

We expect youll be the type of person who is curious and relishes creative problem solving and the chance to work with large and challenging data sets You will also be a good team player who uses your natural people skills to nurture relationships with stakeholders at a wide range of levels, collaborating with the international team and business customers globally

Requirements

What we need from you

We expect you to have an MSC, or preferably a PhD, in a STEM subject Some relevant professional experience and teaching experience will also be an advantage Beyond that, were keen to hear from men and women with as much of the following on your CV

Deep Learning Expert
Ability to interpret internal behavior of deep learning networks
Strong experience in signal processing
Expertise in adversarial machine learning and deep generative models
Some previous experience in an AI-related field is preferred
Strong programming skills in Python, C and Matlab
Strong capabilities in ML libraries such as TensorFlow, Keras, and others
A strong publication record

Company Description

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 UKs 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 PERCENT 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

Disclaimer

Please note We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date

Before applying, you are advised to read our protection policy This policy describes the processing that may be associated with your personal and informs you that your personal may be transferred to Royal Dutch/Shell Group companies around the world

The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand

Shell is an Equal Opportunity Employer

Employment Type

Full Time

Skillpool

R&D FS - Math Comp & Data Science

Work Location

London - Bank Street

No of Positions

1

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