At a Glance
- Tasks: Lead innovative data science projects using AI to tackle real-world challenges in defence and security.
- Company: Join The Alan Turing Institute, a leader in cutting-edge research and technology.
- Benefits: Enjoy a competitive salary, flexible working, and family-friendly policies.
- Other info: Work in a dynamic setting with opportunities for continuous learning and career growth.
- Why this job: Make a real impact by applying advanced machine learning techniques in a collaborative environment.
- Qualifications: Deep experience in machine learning and strong programming skills, ideally in Python.
The predicted salary is between 54612 - 62381 £ per year.
This is an exciting opportunity for a Senior Data Scientist to join The Alan Turing Institute's Defence & Security programme, working within the Electromagnetic Environment team to apply cutting-edge AI and data science to complex real-world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment.
Working closely with researchers, engineers and external stakeholders, the postholder will lead and support exploratory projects, communicate findings through reports and presentations, and help shape future research in an agile, collaborative and mission-driven setting.
Your Profile
We are looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate will bring strong programming capability, ideally in Python, experience leading technical or research projects and the ability to work closely with stakeholders to shape problem definitions and deliver practical, high-quality outputs. They will be a confident communicator who can explain specialist ideas clearly, support and guide more junior colleagues and thrive in a collaborative, experimental environment that values autonomy, rigorous thinking and continuous learning. A background in areas such as physics, engineering, mathematics, radar, communications, or data science would be particularly valuable, along with eligibility to obtain UK SC clearance.
How You'll Make an Impact
- Engage with scientists from the EME's Defence and Security partners to learn their aims and requirements and understand and identify problems they face.
- Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems.
- Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners' decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations.
- Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success.
- Present, disseminate and explain our work via presentations, reports and workshops.
- Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs.
- Take ownership of a particular domain challenge area or methodology for the group.
- Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute.
Terms and Conditions
This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £54,612-£62,381 plus excellent benefits, including flexible working and family friendly policies.
Security Clearance
Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage.
Equality, Diversity and Inclusion
We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don’t meet every single requirement, please apply – we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition.
Senior Data Scientist, EME in City of London employer: The Alan Turing Institute
Contact Detail:
The Alan Turing Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, EME in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of data science and AI, especially those connected to The Alan Turing Institute. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and radio frequency analysis. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills, particularly in Python. Practice coding challenges and be ready to explain your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at The Alan Turing Institute.
We think you need these skills to ace Senior Data Scientist, EME in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your machine learning expertise, programming skills in Python, and any relevant project leadership experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how your background in data science or related fields makes you a perfect fit. Don’t forget to mention any specific projects or achievements that showcase your problem-solving abilities.
Showcase Your Communication Skills: Since you'll be working closely with stakeholders, it's important to demonstrate your ability to communicate complex ideas clearly. Include examples of how you've successfully presented findings or led discussions in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at The Alan Turing Institute
✨Know Your Stuff
Make sure you brush up on your machine learning and AI knowledge, especially as it relates to radio frequency signal analysis. Be prepared to discuss specific algorithms you've worked with and how they can be applied to real-world problems.
✨Showcase Your Leadership Skills
Since this role involves project leadership, think of examples where you've led a team or project successfully. Be ready to explain how you guided junior colleagues and collaborated with stakeholders to achieve project goals.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to present findings and ideas to both technical and non-technical audiences, so being able to communicate effectively is key.
✨Engage with the Role's Mission
Familiarise yourself with the Defence & Security programme and the specific challenges faced by EME partners. Showing genuine interest in their work and how your skills can contribute will set you apart from other candidates.