Senior Data Science (Security and Defense Sector) - Security Clearance Needed
£80,000 to £110,000
LONDON
The Company:
As a Senior Data Scientist, you will be working with experienced Data Scientists and Data Engineers to deliver and create models of impact for Security purposes. You will be exposed to the latest technologies, and you will be given the opportunity to be part of an ever-growing industry around global support, security, and human behaviour.
Role:
- Your day-to-day responsibilities will be as follows:
- Deploying Data Science projects straight onto the market.
- You will be building Machine Learning algorithms and models to create new data products and services using Python.
- You will be coding and testing new algorithms for prototype and production applications using Python libraries (TensorFlow and Keras).
- You will be translating data into meaningful insights using Python.
- Take the lead in the interaction with customers and stakeholders to showcase the project.
- You will develop and deploy advanced AI models to forecast human decision-making.
- You will enhance the functionality and performance of our ML engine, models, and systems.
- You will utilize machine learning methods to interpret and analyze data, ensuring continuous adaptation and evolution of our models.
- You will collaborate closely with clients in the defence, intelligence, and security sectors, taking a lead role in managing customer relationships and delivering products.
- You will work in partnership with the technical team, including data scientists and ML engineers, to integrate the requirements of defence clients into the overall product.
Your Skills and Experience:
- Educated to a MSc or PhD level in Stem subject.
- Proven Knowledge in the implementation of Machine Learning techniques.
- UK Security clearance (SC or Developed Vetting)
- Strong commercial experience with Python andand a proficient knowledge of Python, R, and Scala.
- Previous commercial exposure to tools such as Keras, TensorFlow, Python.
- Excellent communication skills and team and colleague engagement.
Benefits:
- Competitive Salary.
- Outstanding career progression.
- Flexible working.
How to Apply
Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.