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- Tasks: Develop innovative AI/ML solutions and collaborate on exciting projects.
- Company: Leading tech firm focused on cutting-edge research and development.
- Benefits: Competitive salary, generous holiday, flexible working, and a contributory pension scheme.
- Other info: Flexible working culture with opportunities for volunteering and career growth.
- Why this job: Join a dynamic team and make a real impact in the world of AI and machine learning.
- Qualifications: BSc in relevant field and experience with Python and ML packages.
The predicted salary is between 40000 - 50000 £ per year.
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, plus opportunity to buy and 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).
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 be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting 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. You will communicate these ideas effectively to senior technical leaders to feed into technical direction of your projects.
Responsibilities:
- Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors.
- Bring experience in developing and delivering data-centric solutions.
- Undertake research and applied AI/ML tasks on both customer and internal research projects.
- Work with autonomy on assigned tasks within project groups.
- Generate ideas for new research directions.
- Deliver AI/ML/Data Science solutions to a broad range of problems in defence.
- Work with more senior group members, 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 and to senior stakeholders with adaptability to audiences of different levels of technical expertise.
Skills Experience:
Essential:
- BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
- Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
- Have experience of delivering ML solutions to stakeholders.
- Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors.
- Experience of training and developing AI models including Large Language Models.
- Ability to produce high-quality scientific (academic style) writing for internal external publication.
- Problem solve with high levels of autonomy, with some input from technical leaders.
- Be a self-starter, being pro-active in finding solutions.
Desirable:
- 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 commandline 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.
- Comfortable following agile processes for project delivery.
- Experience of delivering AI/ML projects in defence or government.
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.
Data Scientist & Machine Learning Researcher employer: Raytheon
Contact Detail:
Raytheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Machine Learning Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist & Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist & Machine Learning Researcher role. Highlight your experience with Python, ML packages, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: Since you'll be presenting ideas to senior stakeholders, it's important to demonstrate your communication skills in your application. Use clear and concise language, and don't shy away from showcasing any past experiences where you effectively communicated complex ideas.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Raytheon
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning algorithms and data science principles. Be ready to discuss your experience with Python and ML packages like TensorFlow and PyTorch, as well as any projects you've worked on that relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Highlight your ability to work autonomously and how you’ve contributed to AI/ML projects, especially those that required innovative thinking.
✨Communicate Effectively
Practice explaining your ideas clearly and concisely, especially to non-technical stakeholders. You might be asked to present your work or demonstrate your solutions, so being able to adapt your communication style is key.
✨Ask Insightful Questions
Come prepared with questions about the team’s current projects, the company culture, and how they approach research and development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.