Principal Data Scientist & Machine Learning Researcher

Unspecified

Principal Data Scientist & Machine Learning Researcher

Location

Gloucester, London or Manchester

Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site.

SC Required

Must already hold or be able to gain an eDV clearance.

Duration

Permanent

Hours

Fulltime 37 hrs

Raytheon UK

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.

About the role :

This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI / ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.

Skills and Experience

Requirements

Desirable

• PhD. or Masters degree highlighting experience of academic research.
• Experience of deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs)
• Working knowledge of Linux systems, using basic command line functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…)
• Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
• Research publications in peer reviewed journals.
• Experience of delivering AI / ML projects in defence or government.
• Existing network of contacts across defence and government.

Responsibilities

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage in across our customer community.
• Work with autonomy to develop complex, novel data science solutions.
• Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI / ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI / ML / Data Science solutions to broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Benefits and Work Culture

Benefits

• Competitive salaries.
• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
• Contributory Pension Scheme (up to 10.5% company contribution)
• Company bonus scheme (discretionary).
• 6 times salary ‘Life Assurance’ with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
• Car / Car allowance (dependant on grade / role)
• Private Medical Insurance (dependant on grade)

Work Culture

• 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
• Early 1.30pm…