A renowned investment firm requires a dynamic individual, who has solid software development experience, a detailed understanding of machine-learning and modeling techniques, to be their next Data Scientist. The ideal candidate should be detail-oriented, highly analytical and self-motivated. The successful incumbent will have a passion for discovering solutions hidden within data and working with stakeholders to improve business outcomes. Please note this is an EE position ONLY.
Engage with business stakeholders to understand, refine and document requirements.
Identify and source relevant data from internal and external sources.
Analyse and clean data.
Engineer data features.
Select the most appropriate analytical models for the requirement.
Transform data and test analytical models.
Optimise model parameters.
Present the findings to stakeholders (including non-technical stakeholders).
Generate data visualisations and document findings.
Develop models into production solutions, where required.
Refine the model for the production environment.
Provide production support for existing solutions.
Test data and code.
Review code from teammates.
Self-manage to deliver on project deadlines.
Remain current with the latest data science tools and techniques.
Postgraduate Degree in Mathematics, Statistics, Computer Science, Computer Engineering or related technical discipline with a strong academic performance.
Excellent understanding of machine learning and data analytic techniques.
Experience working with Python and SQL.
At least 1 years’ experience working on Data Science initiatives.
Excellent development and software engineering skills.
Experience with Kubernetes and Docker preferable.
Strong analytical and problem-solving capabilities.
Highly detailed oriented.
Strong communication skills – able to explain complex concepts in layman’s terms.
Good interpersonal skills, ability to work with diverse personality types and deal with conflict in an effective way.
Ability to work individually and with teams.
Adaptable and comfortable working in an experimental environment.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
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