Role Highlights
- 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
What You'll Tackle Each Day:
- 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
