Data Scientist / Engineer developing and implementing AI solutions for insurance clients. Contributing to fraud detection and automation in a hybrid work environment.
About the role
- Data Scientist designing bespoke data science solutions and shaping technical direction for AI projects in Defence sector. Collaborating with clients to ensure technical feasibility and delivery excellence.
Responsibilities
- Mapping the end-to-end data science approach and designing the associated software architecture for projects
- Driving the technical scoping and feasibility assessment of new projects
- Building strong client relationships by acting as a technical advisor
- Delivering bespoke algorithms and scalable software solutions for high-stakes decision-making
- Setting the technical bar for the project team
- Contributing to Faculty's thought leadership through teaching, public speaking, or open-source projects
Requirements
- proven experience in a professional data science or quantitative academic role
- strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch)
- solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation)
- ability to innovate new algorithms
- apply a rigorous scientific and entrepreneurial mindset
- exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences
- contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, achieving measurable outcomes
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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