Principal Data Scientist & Machine Learning Researcher at Raytheon

Principal Data Scientist & Machine Learning Researcher – Raytheon, South Gloucestershire, UK (Hybrid).

Full‑time on‑site position.

Role type: Hybrid – average of 3 days a week on‑site.

Responsibilities

• Support the Head of Data Science & Machine Learning in contributing to group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage 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 a 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.
• Required Skills & Experience
• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Multiple years’ experience delivering novel ML solutions to customers and internal stakeholders.
• Excellent coding practice using Python and associated ML packages (Hugging Face, Tensor Flow, Py Torch), following best practices.
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.

Experience with version control and environment management (e. g., venvs or Docker).

• Experience writing technical project proposals.
• Experience managing teams (technical leadership and/or line management).
• Experience leading teams following agile principles.
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to propose research beyond existing literature.
• Experience of training and developing AI models including Large Language Models.
• Ability to produce high‑quality scientific writing for internal & external stakeholders as well as academic publications.
• Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate actions.

Desirable Skills & Experience

• Ph D or Master’s degree highlighting experience of academic research.
• Experience 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 and basic command‑line functionality (AWS CLI, Docker CLI, ssh, ls, cd, …).
• Experience working in Cloud, especially AWS, GCP or Azure.
• Research publications in peer‑reviewed journals.
• Experience delivering AI/ML projects in defence or government.
• Existing network of contacts across defence and government.

Benefits and Work Culture

• 37‑hour working week with early finish Fridays – start your weekend early.
• An informal, flexible working culture that is output focused, not time spent at desk.
• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering.
• Contributory Pension Scheme (up to 10.5% company contribution).
• Annual company bonus scheme (discretionary).
• Six times salary ‘Life Assurance’ with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work.
• Enhanced sick pay.
• Enhanced family‑friendly policies including enhanced maternity, paternity & shared parental leave.

LI‑BZ1 C&I RTX adheres to the principles of equal employment.

All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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