Define, architect, and lead delivery of machine learning and AI solutions. Support exploratory data analysis, proofs of concept, and the end-to-end data science lifecycle. Translate business problems into analytical and modeling solutions, communicate findings to technical and non-technical stakeholders, and provide specialist model delivery support. Design, develop, test, implement, and monitor models while tracking advances in data science and advising leadership on competitive capabilities.
Job Description
Performance Parameter
Measure
1.
Demand generation
Order booking
2.
Revenue generation through delivery
Timeliness, customer success stories, customer use cases
3.
Capability Building & Team Management
% trained on new skills, Team attrition %
Role Purpose
The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
London
2 x Data Scientist:
- Support exploratory data analysis and the end-to-end data science lifecycle
- Run proofs of concept and prototypes to validate approaches and business value
- Translate business problems into appropriate analytical / model solutions and communicate outcomes to technical and non-technical stakeholders
- Provide specialist support for model delivery techniques and use cases
- Design, develop, test, implement and monitor models, accounting for internal/external drivers of outcomes
- Keep up to date with advances in data science, analytics and AI, and advise leadership on maintaining competitive capabilities
Deliver
Performance Parameter
Measure
1.
Demand generation
Order booking
2.
Revenue generation through delivery
Timeliness, customer success stories, customer use cases
3.
Capability Building & Team Management
% trained on new skills, Team attrition %
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