This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis, and new product innovation.Provide data-driven analysis via statistical, quantitative, machine learning, programmatic, and heuristic methods. Relate statistical and other analytical results to real-world problems and explain the results to non-technical clients and colleagues.Heavy use of SQL programming and statistical packages is required. Analyse, understand, clean, integrate, and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative, and inventive to solve problems to enhance existing and develop new analytics-related products and services.My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem-solving abilities but also have what it takes to discern the hidden patterns and signals within the markets.Company:
OPUS (Rec.)Qualifications:
Useful skills to possess:
Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.- Commercial data science experience- Machine learning- SQL- MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering- Creating customer segmentation models- Knowledge of SAS- Data Mining- R/Python- Proficient user of MS OfficeThis is a superb career opportunity in the Data Science space. This company invests a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective.Educational level:
Master Degree
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This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis, and new...
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