ABOUT PROJECT The customer is a British company producing electricity with zero carbon emissions.
REQUIREMENTS
Educated to degree or equivalent discipline with a solid analytical background as well as commercial experience with data science and machine learning techniques
Experience in building Generative AI applications (AgenticAI, RAG, etc.)
Strong working knowledge of data science languages (SQL, Python, R, or equivalent) and cloud services
Skilled in advanced modelling techniques, including the ability to peer-review other data scientists' work
Strong understanding of generative AI, NLP, and machine learning concepts
Able to contribute to evolving data and AI policies, standards, and guidelines for methods and tools
Ability to develop accurate models from first principles, ensuring business value is central to all data-driven outcomes
Competence in data modelling and managing data requirements
Ability to rapidly absorb and critically assess new information
Effective communication skills for engaging with diverse stakeholders
Upper-Intermediate level of English
RESPONSIBILITIES
Lead the delivery of complex data science projects from planning through execution, ensuring alignment with time, cost, and quality objectives
Design and implement analytical solutions by applying advanced data science methods, including artificial intelligence and large language models, while staying current with technological developments
Effectively communicate complex, data-driven insights to non-technical and technical stakeholders, articulating business impact and value
Conduct time-boxed data exploration to rapidly test hypotheses and determine viability before committing significant resources
Drive adoption of analytical outputs across the business by ensuring clarity, relevance, and engagement with key stakeholders
Proactively identify and mitigate risks using RAID frameworks, ensuring project continuity and result integrity
Track and assess benefits derived from data science initiatives, with a focus on high-value outcomes and continuous improvement
Ensure compliance with organisational standards, governance frameworks, and ethical data practices
