The Alan Turing Institute is seeking a Senior Data Scientist to join their Defence & Security Department.

ROLE PURPOSE

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

Projects usually last between 1-3 months, and Data Scientists are given the opportunity to work on more than one at once. The projects are exploratory, have high-risk of “failure”, and generally output Proof of Concept code and technical write-ups. Work is done with other ARC members, alone with support from the Principal Data Scientist, or in collaboration with other groups and Partner data scientists. Senior Data Scientists are expected to provide support and consultancy to more junior team members, as well as providing technical leadership on their team projects. 20% time is provided to allow Data Scientists to keep their Machine Learning and programming skills 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.

DUTIES AND AREAS OF RESPONSIBILITY

Successful candidates will:

• Apply state-of-the-art Machine Learning and Data Science techniques emerging from the Institute, broader academia and industry to problems faced by the Turing’s Defence and Security 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 Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success
• Present, disseminate and explain our work via presentations, reports and workshops
• Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, and balancing client value with research outputs;
• Take ownership of a particular domain challenge area or methodology for the group.

REQUIREMENTS

• Experience in a field with significant use of both computer programming and advanced statistical or numerical methods, evidenced by a PhD degree; or equivalent professional experience.
• Practical experience applying Machine Learning to real world problems or strong theoretical knowledge and academic experience with Machine Learning and adjacent topics
• Fluency in one or more modern programming languages used in research in data science and artificial intelligence. (We primarily work in Python, but demonstrable use of other programming languages for research, together with a facility for learning new languages, is also sufficient.)
• An understanding of the importance of good practices for producing reliable software and reproducible analyses, such as version control, issue tracking, automated testing, package management and literate analysis tools such as Jupyter and Rmarkdown.
• Experience working with customers to identify, understand and refine problems, scoping data science work to solve them.
• Ability to lead one’s own work independently, including planning and execution
• Ability to lead small teams, including remote teams and mixed teams with collaborators and customers.
• Ability to work effectively as part of a remote team, when necessary, with collaborators and stakeholders.

This full time post is offered on a fixed term basis until March 2025.

Please find below a link to the advert, job description and application form.

https://cezanneondemand.intervieweb.it/turing/jobs/senior_data_scientist_21964/en/

Closing date: Sunday 8^th May 2022, 23:59pm.

Should you have any queries, please email recruitment@turing.ac.uk.