Data Scientist - Contract

P3 Search & Selection ,
London, Greater London
Salary: £350 per day

Overview

Fantastic opportunity for a Data Scientist to join a market leading company and to make a significant difference to help transform them into a data driven company. Main Tasks and skillset include: • Knowledge / experience in implementing R or Python machine learning algorithms • Demonstrated skills at data cleansing, data quality assessment, and using analytics for data assessment • Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics • Developers and Mathematical approach • Strong written and verbal communication skills; • Being able to work in a fast-paced multidisciplinary environment; • Having the ability to query databases and perform statistical analysis; • Being able to develop or program databases; • Being able to advis senior management in clear language about the implications of their work for the organisation; • Being able to work autonomously. • Rigorous and passionate with data •Perform machine learning / big data activities:• Data quality assessment, - exploration and -profiling • Design and development of analytic data sets • Statistical analysis and machine learning modelling • Application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization • Rapid prototyping to demonstrate value of Big Data use cases • Present research and insights. • Generate reports, annotated code, and other projects artefacts to document, archive, and communicate your work and outcomes • Research, develop, implement, measure and take ownership of predictive models • Perform statistical analyses and "deep dives" into the data, and present and discuss solutions with business partners. • Share and discuss findings with team members Implement, produce and monitor models • Implement, test and take ownership of predictive models. • Supervise the production of new algorithms into operational processes, measure the results and improve continuously. • Develop specific tools, processes and reporting or data visualizations to deliver a high level of service of the solution implemented and measure their impacts on business