My client, a leading investment bank is looking for a Lead Data Scientist for their growing Data Science Team. The selected candidate would be building the Data Science technology in supporting the Advisory Technology.
- Work with the various business group in understanding the analytics requirements to design and build utility analytical models/toolsets for the firm.
- Build the Data pipeline and transfer raw data into a usable format that feeds into the Business Intelligence platform and various Machine Learning algorithms.
- Build predictive models and machine learning algorithms to solve business problems and needs.
- Oversight of the whole data lifecycle including data collection, data munging, data pipeline, and building of machine learning algorithms.
- Work with senior stakeholders as a solution evangelist and delivery.
- Oversight and making recommendations on technical design such as the use of objects, data architecture, integration, and User Interface design.
- Around 8+ years of experience in the Data Engineering and Analytics space.
- Experience with various Data technology including Data Mining, DWH, ETL, Visualization, Big Data, Cloud Data, etc.
- Board Data Technology experience across Data Structure, Architecture, Strategy, and Data Governance.
- Strong mathematical knowledge in statistics, and algebra.
- Proven experience in Data Science, Modelling, Big Data Analytics, etc.
- Programming experience with Python.
- Experience with common data science toolkits, machine learning, and AI.
- Excellent communication skills, fluent in written and spoken English. You will be working in an international team.
- Experience in applying business analysis/project management methodologies, tools, and disciplines.
- Bachelor's degree in Technology or Maths related from a reputed University.
If this outstanding opportunity sounds like your next career move, please send your resume in Word format to Danny Kwan at email@example.com and put Lead Data Scientist - Leading Investment Bank in the subject header.
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