Job Overview
We collaborate with key stakeholders to identify business needs and gaps, then deliver impactful data science projects.
Our team provides expertise on datasets, ensuring comprehensive coverage and alignment with business objectives.
We work with complex and varied datasets to extract insights, transform data, and develop innovative solutions that address pressing business challenges.
We design, implement, and maintain analytical products that seamlessly integrate with data sources and visualisations, ensuring seamless communication of insights.
We oversee end-to-end data science execution, from scoping and building predictive models to testing, implementation, maintenance, tracking, and optimisation.
We create project documents to a high standard for diverse audiences and provide support and guidance on interpreting analytical results.
We contribute to the development of best practices for collecting, organising, interpreting, and presenting quantifiable data, and produce statistical reports and analyses.
We ensure good documentation practices that enable replicable processes for analysis, evaluation, monitoring, and quality improvement.
Key Responsibilities
* Develop and implement complex analytical and predictive models
* Apply extensive knowledge of statistics, machine learning, data mining, and linguistic modelling algorithms
* Utilise a range of programming languages and data tools, including Python, R, C/C++, and SQL
* Foster strong liaison and negotiation skills to build productive working relationships
* Effectively communicate complex technical issues to both technical and non-technical audiences
* Translate findings into clear, concise written reports
Requirements
* Strong conceptual, analytical, and problem-solving skills
* Expertise across multiple programming languages and data tools
* Excellent communication and writing skills