Senior Data Scientist & Machine Learning Researcher
Location: Gloucester, Manchester
Benefits
- Competitive salary
- Contributory Pension Scheme (up to 10.5% company contribution)
- 6 times salary 'Life Assurance' with pension
- 25 days holiday (increasing with service) + statutory public holidays, opportunity to buy/sell up to 5 days (37hr)
- Company bonus scheme (discretionary)
- 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
Work Culture
- 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
- Early 1.30pm finish Friday, start your weekend early!
- Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.
- Up to 5 paid days volunteering each year.
- Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) – please highlight any requests to the Talent Acquisition team.
What You Will Do
Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).
As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.
The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems.
You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started).
Responsibilities
- Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
- Bring experience in scoping, designing, and delivering data‑centric solutions while working collaboratively across disciplines.
- Undertake research and applied AI/ML tasks on both customer and internal research projects.
- Generate ideas for new research directions and provide technical leadership in small project groups.
- Mentor more junior team members within their project team and the wider SRG.
- Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.
Required Skills & Experience
- BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
- Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
- Established track record of delivering ML solutions to customers and internal stakeholders.
- Deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to undertake research and development beyond existing literature.
- Experience 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.
- Experience mentoring other team members and undertaking technical leadership on small projects or sub‑parts of larger deliveries.
Desirable Skills & Experience
- PhD or Masters degree highlighting experience of academic research.
- Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker).
- Working knowledge of Linux systems, using basic command‑line functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…)
- Experience deploying AI models in a scalable way for external users.
- Experience working in Cloud, preferably AWS but also GCP or Azure.
- Research publications in peer reviewed journals.
- Experience writing technical project proposals.
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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