Data Scientist

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## Data Scientist - ARC

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London, United Kingdom

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Research Programmes

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## Company Description

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here

## Position

The Applied Research Centre (ARC) is a team within the Turing’s Defence & National Security (D&NS) grand challenge. The grand challenge’s vision is to undertake multidisciplinary data science and AI research to ensure a safe, secure, and prosperous society. ARC and the wider Turing D&NS deliver real-world impact by enabling the UK’s security community to draw on the very best of academia to achieve high impact solutions to the most pressing challenges in the field. 

ARC works with partners from across UK Government to turn their data challenges into research questions. We apply cutting-edge research from Deep Learning and related fields to client problems in a readable, reliable and reproducible fashion. We present conclusions of research and analysis to the research community and partners through presentations, research papers and demonstrations. 

**ROLE PURPOSE** 

ARC Data Scientists understand the latest breakthroughs in Deep Learning and AI, and work to apply them to Defence and Security challenges. Data Scientists perform investigations based on tasking from D&S partners to de-risk new techniques or technologies and create proof-of-concept work to inform future research. Investigations often involve understanding whether a new approach is suitable for a particular problem, how academic research performs when applied in real-world situations, and what the potential drawbacks of adopting a new technology are. 

ARC projects span a variety of data types, including text, image, audio, and graph, and have aims ranging from recommending solutions for a problem faced by a specific team, to informing best practices for common challenges faced by data scientists across the D&NS community. 

Team members are not expected to, and often will not, have prior experience in the project areas. Rather, ARC Data Scientists are experienced researchers with a strong understanding of common fundamentals and an ability to rapidly assimilate new domains and topics. 

Projects usually last between 3-6 months and are exploratory, with a high-risk of “failure”. The outputs are generally Proof of Concept code and technical write-ups. Data Scientists work with other ARC members or in collaboration with other groups and Partner data scientists.  

20% time is provided to allow Data Scientists to keep their Deep Learning, AI, and programming skills and knowledge up to date. Previous knowledge of Defence and Security is not required, and Data Scientists are given the opportunity to learn about D&S challenges through meetings and discussions with Partners. 

**Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website. ** 

**DUTIES AND AREAS OF RESPONSIBILITY** 

• Understand the problems of the Turing’s partners and develop appropriate approaches to solving these problems. 
• Apply state-of-the-art Deep Learning and Data Science techniques emerging from the Institute, broader academia and industry to problems faced by the ARC partners. 
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners’ decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations 
• Design and carry out rigorous experimentation and development with some guidance from Senior and Principal staff, both alone and in small teams 
• Present, disseminate and explain our work including documenting capabilities, processes, and systems for effective and efficient reuse across multiple domains; Presentation at Defence and Security programme events including monthly meetups and wider Turing events; Presentation at Partner reading groups, conferences and to Partner stakeholders; Publication, support and maintenance of research/prototype software. 
• Work at pace, in a highly collaborative environment, using industry standard tooling for testing, version control and collaboration to create software artifacts that can be shared with Turing’s partners. 
• Contribute to a culture of technical excellence within the Institute, for example by leading sessions for internal reading groups. 

## Requirements

• Experience in a field with significant use of both computer programming and advanced statistical or numerical methods, evidenced bya PhD degree; or equivalent professional experience. 
• Either practical experience with or demonstrable interest in Deep Learning, AI and adjacent topics. 
• Fluency in one or more modern programming languages used in research in data science and AI, such as Python, or demonstrable use of other programming languages together with a facility for learning new languages. 
• An understanding of the importance of good practices for producing reliable software and 

• reproducible analyses (e.g. version control, issue tracking, automated testing, package 

• management, literate analysis tools such as Jupyter). 
• Excellent written and verbal communication skills, including experience in the authoring of research papers or technical reports, and giving presentations or classes on technical subjects. 
• Ability to work effectively as part of a team with collaborators and stakeholders, both in-person and remotely 
• Demonstrated enthusiasm and ability to rapidly assimilate new computational and algorithmic ideas and techniques on the job, at a more than superficial level, and apply them successfully 
• Experience managing, structuring, analysing and visualising research data and the results of computational experiments. 

Please see the job description attached for a full breakdown of the duties, responsibilities and person specification 

## Other information

**APPLICATION PROCEDURE** 

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages) telling us: 

• Your past experience working with code and/or data. 
• Why you would like to become part of the Applied Research Centre. 
• How your skillset would complement the activities of the team. 

As this role may require Security Check (SC) clearance, you are required to include the following information as part of your cover letter:  

• Your current nationality  
• Your nationality at birth  
• Other nationality (include dual nationality, if applicable)  
• Confirmation that you have been residing in the UK for the past 5 years (if you haven’t, please provide details of when and where you resided previously and the reason)  

Please note, if these details are not provided, we will be unable to progress with your application.  

If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter.  

For questions about the role and the recruiting process ple...

**
Back to job description

## Data Scientist - ARC

**
London, United Kingdom

**
Research Programmes

Apply for this job

**
Share

Share via link

https://cezanneondemand.intervieweb.it/turing/jobs/data-scientist-59623/en/ https://cezanneondemand.intervieweb.it/turing/jobs/data-scientist-59623/en/
Copy

Share on social media

**

Scan the QR code to easily share it on mobile devices. You can also download it to print or send it as an image

Download
**

## Company Description

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here

## Position

The Applied Research Centre (ARC) is a team within the Turing’s Defence & National Security (D&NS) grand challenge. The grand challenge’s vision is to undertake multidisciplinary data science and AI research to ensure a safe, secure, and prosperous society. ARC and the wider Turing D&NS deliver real-world impact by enabling the UK’s security community to draw on the very best of academia to achieve high impact solutions to the most pressing challenges in the field. 

ARC works with partners from across UK Government to turn their data challenges into research questions. We apply cutting-edge research from Deep Learning and related fields to client problems in a readable, reliable and reproducible fashion. We present conclusions of research and analysis to the research community and partners through presentations, research papers and demonstrations. 

**ROLE PURPOSE** 

ARC Data Scientists understand the latest breakthroughs in Deep Learning and AI, and work to apply them to Defence and Security challenges. Data Scientists perform investigations based on tasking from D&S partners to de-risk new techniques or technologies and create proof-of-concept work to inform future research. Investigations often involve understanding whether a new approach is suitable for a particular problem, how academic research performs when applied in real-world situations, and what the potential drawbacks of adopting a new technology are. 

ARC projects span a variety of data types, including text, image, audio, and graph, and have aims ranging from recommending solutions for a problem faced by a specific team, to informing best practices for common challenges faced by data scientists across the D&NS community. 

Team members are not expected to, and often will not, have prior experience in the project areas. Rather, ARC Data Scientists are experienced researchers with a strong understanding of common fundamentals and an ability to rapidly assimilate new domains and topics. 

Projects usually last between 3-6 months and are exploratory, with a high-risk of “failure”. The outputs are generally Proof of Concept code and technical write-ups. Data Scientists work with other ARC members or in collaboration with other groups and Partner data scientists.  

20% time is provided to allow Data Scientists to keep their Deep Learning, AI, and programming skills and knowledge up to date. Previous knowledge of Defence and Security is not required, and Data Scientists are given the opportunity to learn about D&S challenges through meetings and discussions with Partners. 

**Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website. ** 

**DUTIES AND AREAS OF RESPONSIBILITY** 

• Understand the problems of the Turing’s partners and develop appropriate approaches to solving these problems. 
• Apply state-of-the-art Deep Learning and Data Science techniques emerging from the Institute, broader academia and industry to problems faced by the ARC partners. 
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners’ decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations 
• Design and carry out rigorous experimentation and development with some guidance from Senior and Principal staff, both alone and in small teams 
• Present, disseminate and explain our work including documenting capabilities, processes, and systems for effective and efficient reuse across multiple domains; Presentation at Defence and Security programme events including monthly meetups and wider Turing events; Presentation at Partner reading groups, conferences and to Partner stakeholders; Publication, support and maintenance of research/prototype software. 
• Work at pace, in a highly collaborative environment, using industry standard tooling for testing, version control and collaboration to create software artifacts that can be shared with Turing’s partners. 
• Contribute to a culture of technical excellence within the Institute, for example by leading sessions for internal reading groups. 

## Requirements

• Experience in a field with significant use of both computer programming and advanced statistical or numerical methods, evidenced bya PhD degree; or equivalent professional experience. 
• Either practical experience with or demonstrable interest in Deep Learning, AI and adjacent topics. 
• Fluency in one or more modern programming languages used in research in data science and AI, such as Python, or demonstrable use of other programming languages together with a facility for learning new languages. 
• An understanding of the importance of good practices for producing reliable software and 

• reproducible analyses (e.g. version control, issue tracking, automated testing, package 

• management, literate analysis tools such as Jupyter). 
• Excellent written and verbal communication skills, including experience in the authoring of research papers or technical reports, and giving presentations or classes on technical subjects. 
• Ability to work effectively as part of a team with collaborators and stakeholders, both in-person and remotely 
• Demonstrated enthusiasm and ability to rapidly assimilate new computational and algorithmic ideas and techniques on the job, at a more than superficial level, and apply them successfully 
• Experience managing, structuring, analysing and visualising research data and the results of computational experiments. 

Please see the job description attached for a full breakdown of the duties, responsibilities and person specification 

## Other information

**APPLICATION PROCEDURE** 

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages) telling us: 

• Your past experience working with code and/or data. 
• Why you would like to become part of the Applied Research Centre. 
• How your skillset would complement the activities of the team. 

As this role may require Security Check (SC) clearance, you are required to include the following information as part of your cover letter:  

• Your current nationality  
• Your nationality at birth  
• Other nationality (include dual nationality, if applicable)  
• Confirmation that you have been residing in the UK for the past 5 years (if you haven’t, please provide details of when and where you resided previously and the reason)  

Please note, if these details are not provided, we will be unable to progress with your application.  

If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter.  

For questions about the role and the recruiting process ple...