Data Scientist: Human-Centric AI for High-Stakes Impact
Faculty
Greater London
Hybrid
GBP 50,000 - 70,000
Full time
14 days+
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Benefits offered by this job
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility
Sanctus Coaching
Job summary
A leading AI firm in the Greater London area is seeking a skilled Data Scientist to join their Defence team. In this role, you will design and deliver innovative data science solutions while ensuring technical feasibility and delivery excellence. The ideal candidate will possess strong programming skills in Python as well as extensive experience in machine learning and statistical techniques. This position offers a hybrid working model with flexibility and competitive benefits.
Qualifications
Proven experience in a professional data science or quantitative role.
Strong Python programming skills with essential libraries.
Solid grasp of core data science techniques and ability to innovate algorithms.
Exceptional communication skills for translating technical solutions.
Responsibilities
Map the end-to-end data science approach and design software architecture.
Drive technical scoping and feasibility assessments for new projects.
Build strong client relationships as a technical advisor.
Deliver bespoke algorithms and scalable software solutions.
Set the technical bar for project teams, ensuring high standards.
Skills
Python programming
Mathematical competence
Statistical competence
Machine learning (supervised/unsupervised)
Deep learning frameworks (TensorFlow/PyTorch)
Natural Language Processing (NLP)
Model validation
Exceptional communication
Tools
NumPy
Pandas
Job description
A leading AI firm in the Greater London area is seeking a skilled Data Scientist to join their Defence team. In this role, you will design and deliver innovative data science solutions while ensuring technical feasibility and delivery excellence. The ideal candidate will possess strong programming skills in Python as well as extensive experience in machine learning and statistical techniques. This position offers a hybrid working model with flexibility and competitive benefits.