About the Role
5+ years in applied data science, machine learning, AI engineering, operational research or closely related work.
Responsibilities
- Building, evaluating and deploying models.
- Data preparation.
- Experimentation.
- Software development lifecycle.
- Communicating model limitations.
- Experience applying AI in an organisational setting.
- Ability to explain complex concepts in straightforward language and run coding labs safely.
- Evidence of teaching technical and non-technical audiences.
Qualifications
- Relevant degree or equivalent demonstrable professional experience.
- Postgraduate qualification.
- Cloud AI/ML certification.
Required Skills
- 5+ years in applied data science, machine learning, AI engineering, operational research or closely related work.
- Building, evaluating and deploying models.
- Data preparation.
- Experimentation.
- Software development lifecycle.
- Communicating model limitations.
- Experience applying AI in an organisational setting.
- Strong Python.
- Common ML/data libraries.
- Model evaluation.
- Statistics.
- Data pipelines.
- MLOps or deployment concepts.
- Generative AI/LLM fundamentals.
- Responsible AI, privacy and security awareness.
- Ability to explain complex concepts in straightforward language and run coding labs safely.
- Evidence of teaching technical and non-technical audiences.
Preferred Skills
- Postgraduate qualification.
- Cloud AI/ML certification.
- Experience in agent-based modelling, system dynamics, multi-criteria analysis or stakeholder analysis.
Pay range and compensation package
