Data Scientist - X1 Senior , X1 mid level at CloudStream Global

Job description

This role requires a motivated, energetic, inquisitive and highly numerate data fan, possessing a genuine love of numbers and the value that can be derived from interrogating and manipulating them. The successful candidate will be a strong in  Excel / VBA / SQL / R / etc, ideally already well versed in the art of data science (or who will take great pleasure in learning fast) and impatient to apply those skills to analyzing and working with data. Add in responsibility for scenario modelling the banks company’s complex business workflows

Key requirements of the role:

• Design and development of predictive analytics models for commercial benefit, followed by the integration and implementation of the outcomes of such models into relevant business processes
• Further development and enhancement of existing Excel + VBA model of the business for the projection and analysis of scenarios for market entry and expansion, marketing campaign initiation and extension, capital and resource allocation, etc., etc.

Other duties will include, but not limited to:

• Analysis of data from various sources in order to ensure that the business acts proactively on the information at its disposal
• Obtaining, manipulating and analyzing business data to derive model input and assumptions
• Hypothesizing, testing and comparing projected scenarios for the growth of existing business / development of new markets / etc.
• Highlighting potentially unprofitable scenarios in order to determine remedial action where necessary / possible

Requirements

• The ideal candidate will have the following qualifications, skills and experience:
• Several years of experience solving significant problems in data science / predictive analytics / actuarial modelling / etc.
• Completion of (or meaningful progress in) post-graduate studies in fields with substantial bias towards computational numeracy (e.g. actuarial science, data science, statistics, computer science, mathematics, engineering, etc.)
• Demonstrable expertise in and several years of hands-on experience with relevant tools (SQL / Excel / VBA / SQL / R etc.)
• Clear track record of deriving commercial value, with solid verbal and written communication skills

We will also consider candidates that meet all of the following minimum requirements:

• 4+ years of relevant work experience (e.g. actuarial modelling / data science / predictive analytics / etc.) in areas of significant commercial value, regardless of academic background
• OR
• Undergraduate degree in any of the fields listed above (or something else substantially similar); AND
• 1+ years of relevant work experience (in the fields listed above, or similar); AND
• 1+ years experience with appropriate technical tools (as listed above, or similar)

Personal characteristics and competencies required:

• Pro-active self-educator with strong desire to continually improve knowledge and skills through self-driven research and experimentation
• Highly self-motivated, comfortable taking initiative and at times working with minimal instruction (especially when breaking new ground)
• Resourceful, able to solve problems and implement solutions where others aren’t always able to assist
• Logical and analytical, able to design and build scalable and replicable systems that balance short-term needs with long-term stability