At a Glance
- Tasks: Lead AI/ML projects, develop innovative data science solutions, and mentor junior team members.
- Company: Raytheon UK, a leader in defence and aerospace technology.
- Benefits: 25 days holiday, flexible working, contributory pension, and company bonus scheme.
- Other info: Dynamic work culture with opportunities for volunteering and professional development.
- Why this job: Shape the future of national security while advancing your career in a collaborative environment.
- Qualifications: BSc in relevant field and experience with Python and ML packages.
The predicted salary is between 43200 - 72000 £ per year.
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.
This Senior Data Scientist & Machine Learning Researcher 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 focused problems. In this role 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.
Responsibilities
- Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.
- Brings 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.
- Provide technical leadership in small project groups.
- Generate ideas for new research directions.
- Advise on suitability of group research ideas based on previous experience.
- Mentor more junior team members within their project team and the wider 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.
- 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.
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).
- Have an established track record of delivering ML solutions to customers and internal stakeholders.
- Demonstrate deep 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.
- 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.
- Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.
Desirable Skills & Experience
- Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs / Docker).
- Working knowledge of Linux systems, using basic commandline functionality.
- Experience of deploying AI models in a scalable way for external users.
- Experience working with cloud services.
- Experience of writing technical project proposals.
Benefits
- 25 days holiday + statutory public holidays, plus opportunity to buy / sell up to 5 days.
- Contributory Pension Scheme (up to 10.5% company contribution).
- Company bonus scheme (discretionary).
- 6 times salary Life Assurance.
- 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.
Work Culture
- 37hr working week, with an early 1.30pm finish Friday.
- Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.
- Flexible working culture that is output, not time spent at desk, focused.
- Formal flexible working arrangements can also be requested.
- Up to 5 paid days volunteering each year.
Senior Data Scientist and Machine Learning Researcher in Manchester employer: Raytheon Systems
Raytheon UK is an exceptional employer, offering a dynamic work environment where innovation thrives and personal development is prioritised. With a strong commitment to employee growth, flexible working arrangements, and a culture that values collaboration and purpose, you will be part of a team dedicated to advancing defence and aerospace technology while making a meaningful impact on national security. Our comprehensive benefits package, including generous holiday allowances and enhanced family-friendly policies, further underscores our dedication to supporting our employees' well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist and Machine Learning Researcher in Manchester
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We think you need these skills to ace Senior Data Scientist and Machine Learning Researcher in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Raytheon Systems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Raytheon Systems!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
