At a Glance
- Tasks: Develop innovative AI/ML solutions and collaborate on exciting projects.
- Company: Join a leading tech firm focused on defence and cutting-edge research.
- Benefits: Competitive salary, generous pension scheme, flexible working, and 25 days holiday.
- Other info: Enjoy a flexible work culture and opportunities for volunteering.
- Why this job: Make a real impact in AI while working with top experts in the field.
- Qualifications: BSc in relevant field and experience with Python and ML packages.
The predicted salary is between 50000 - 70000 £ per year.
About the role
This role is within the Strategic Research Group (SRG). The SRG is 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.
Responsibilities
- Develop novel data science solutions and contribute significantly to machine learning projects as part of a team.
- 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 defence problems.
- Collaborate with senior group members, customers and internal stakeholders to determine appropriate technical approaches and perform the required technical development.
- Present and demonstrate work internally and to senior stakeholders with adaptability to audiences of different technical expertise levels.
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).
- Experience delivering ML solutions to stakeholders.
- Good 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 (academic style) writing for internal & external publication.
- Problem solving with high levels of autonomy, with some input from technical leaders.
- Self‑starter, proactive in finding solutions.
Desirable
- PhD or Master’s degree highlighting experience of academic research.
- Experience using robust ML pipelines, appropriate version control and environment management (venvs or Docker).
- Working knowledge of Linux systems and basic command‑line functionality.
- Experience working in Cloud, especially AWS but also GCP or Azure.
- Research publications in peer‑reviewed journals.
- Comfortable following agile processes for project delivery.
- Experience delivering AI/ML projects in defence or government.
Benefits
- Competitive salary.
- Contributory Pension Scheme (up to 10.5% company contribution).
- Six 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 among others.
- Enhanced sick pay.
- Enhanced family friendly policies including enhanced maternity, paternity and shared parental leave.
Work Culture
- 37 hour 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, dependent 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).
Equal Employment Opportunity
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 in Kingswood employer: Prattwhitney
Join a forward-thinking team within the Strategic Research Group, where innovation meets purpose in developing cutting-edge AI solutions for defence challenges. With a strong emphasis on employee growth, flexible working arrangements, and a supportive culture, we offer competitive benefits including a contributory pension scheme, enhanced family policies, and opportunities for volunteering. This role not only allows you to work autonomously on impactful projects but also provides a collaborative environment with experienced professionals, making it an excellent place for aspiring Data Scientists and Machine Learning Researchers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & Machine Learning Researcher in Kingswood
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI/ML. 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 brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨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 in Kingswood
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and ML packages like TensorFlow or PyTorch. We want to see how you've tackled data-centric solutions in the past, so don’t hold back on those examples!
Tailor Your Application:Read through the job description carefully and tailor your application to match. Use the same language and keywords we’ve used to describe the role. This shows us you’re genuinely interested and understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate high-quality writing, so make sure your ideas flow well and are easy to understand. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Prattwhitney
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning algorithms, especially those relevant to the role. 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 showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Highlight your autonomy in finding solutions and how you collaborated with others to deliver successful outcomes. This will demonstrate your ability to work independently while still being a team player.
✨Communicate Effectively
Practice explaining your work in a way that’s accessible to different audiences. You might be presenting to senior stakeholders who may not have a technical background, so being able to adapt your communication style is key. Consider rehearsing with friends or colleagues to get feedback.
✨Research the Company and Role
Take some time to understand the company’s mission and the specific challenges they face in the defence sector. Being knowledgeable about their projects and how your skills can contribute will show your genuine interest and help you stand out during the interview.
