London
Full-time
Not specified
Not Applicable
Salary
£60,000.00
Sponsorship
15% more than your current base salary
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Job Description

The Company:A highly regarded Wealth Management firm, accredited for being a great company to work for.The Role:The Data Scientist (Python Developer) will be part of the Chief Commercial Office and is dedicated to supporting the engine development of the Wealth Management firm’s custom CRM solution, Pharos. This engine looks to generate ‘prompts’ for the Front Office to help prioritise client engagements and brings together algorithmic business rules and model-based prompts to generate these. The Data Scientist will be working with the principal data scientist, data engineer and data analyst to develop the CRM capabilities and enhance the effectiveness of the solution within the Wealth Management firm.The Data Scientist (Python Developer) will implement additional algorithmic rules identified by the Wealth Management business into the CRM solution.Enhance and refine the logic in the data processing component of the engine and support the front office in diagnosing questions they may have off the back of the outputs of the engine.The Data Scientist (Python Developer) will contribute to the refactoring the Python codebase to allow scale, adhering to software development best practices.Support in the identification of and development of new data science applications within the CRM and collaborate with the data analyst to produce analytics tools and insights to the Wealth Management business.Contribute to the evolution of broader analytics initiatives by supporting data-driven strategy development.The Data Scientist (Python Developer) will work closely with stakeholders to ensure compliance with regulatory requirements and data privacy standards, particularly in the handling of sensitive client data.The CandidateAdvanced Python skills - Essential, with strong knowledge of Pandas, Numpy, and Scikit-learnDegree in computer science, data science, maths, engineering or similarStrong understanding of machine learning models and model appropriateness, probability and statisticsStrong SQL skills essential , Git version control essentialVisualisation; PowerBI desirable or alternatively experience with other tools (e.g. Tableau, Qlik, etc) and willingness and ability to learn PowerBI.Team player with ability to forge relationshipsExcellent stakeholder management and communication skillsAbility to work Independently and proactively

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