Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required.
Contributing to proposal submissions and business development initiatives under the direction of the Leadership team
Designing data science solutions end to end with appropriate time estimations and resourcing
Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders
Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights
Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL.
Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting.
Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment
Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous
Ability to work and process large amounts of data/experience working with cloud environments
Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential
Experience with proposal submissions and business development initiatives under the direction of the Leadership team
Experience in designing data science solutions from concept through to evaluation and monitoring models in production.
Experience in managing teams or supporting team development
Prompt engineering knowledge, with familiarity in different strategies.
Exposure to various prompt engineering techniques in different scenarios
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