Data Scientist

• To be responsible for utilizing their analytical, statistical and programming skills and experience to collect, clean, analyse, interpret large and/or unstructured data sets and present that in a data solution protocol or visualization.
• Analyse client business practices and goals or problems and make suggestions for improvements based on quantitative results and statistically sound outcomes.
• Responsible for assisting and supporting the other managers and ultimately the Group Director MEA in deploying operational or other strategies to monetize data and information by finding ways to leverage existing enterprise data and information in the organization’s products and services.

Minimum Requirements:

• A degree in mathematics/statistic or computer science, actuarial science related field is required
• A minimum of 5 years of progressive responsible experience in a directly related area, during which technical, logical, and statistical rapport has been established as a Data Science professional.
• Extensive experience in the Data and Decision Science/Business Intelligence/ Analytics/AI and ML space as Data Science Professional (preferably in the Insurance, financial or consulting arena).
• Demonstrated Experience in influencing and directing conversations with client through
• storyboard telling or other quantitative mechanisms
• Experience in Navigating known-unknowns as well as unknown-unknowns in a data trend/relationship

Technical Skills:

• Extensive expertise in Microsoft data management technologies coupled with extensive expertise in data modelling, both logical and physical (Technologies: SSIS, SSRS, SSAS, Power BI)
• Extensive experience in multidimensional data modelling, such as star schemas, snowflakes, de- normalized models, handling “slow-changing” dimensions/attributes.
• Extensive Experience in large and unstructured data sets
• Extensive Experience in Cloud technologies
• Experience and understanding of a wide variety of analytical processes (governance, measurement, etc.).
• Experience with relational - SQL - and multidimensional - MDX - query languages
• Extensive experience with Statistical Coding languages such as Python or R
• Extensive experience in other software coding languages
• A deep understanding of Mathematics and Statistics and their application in relation to Data Science
• Extensive experience in Machine Learning concepts and predictive algorithms and their application
• Extensive experience in Advanced Machine learning concepts (validation strategies and feature engineering)
• Experience in the application of Deep Learning concepts
• Experience in designing and Building Deep learning architectures (e.g., Convolutional Neural Networks, Recurrent Neural Networks, etc)
• Knowledge of Computer Vision concept
• Knowledge of Computer Vision application as it pertains to real life scenarios
• Knowledge of Natural Language Processing
• A solid understanding of data security and privacy technologies
• A solid understanding of key Data solutions and Decision Science trends.

Skills:

• High level of computer literacy, MS Excel, Web technologies (Master), Data technologies (Master), Statistical Programming Languages (Master), Statistical methodologies (Master), General Software Development Languages (Master)
• Ability to operate in ambiguity and within the context of poor requirement definitions by clients and can elicit the correct requirement from clients or understand the business problem and context
• Ability to easily conceptualise complex models or business subjects and then articulate it efficiently and effectively to others
• Robust and effective solution architecture or solution design
• Ability to act as a sound board to peer ideas and solution architecture initiatives and be a contributing member of the MANCO you are part of. Conversely, can accept critical review from MANCO peers to ideas presented to them
• Ability to easily identify current solution trends in the data, insights, analytics, AI and ML space and integrate that back to DDS product offerings. Furthermore, can identify gaps in product offering and advise on new products/technologies that will enable DDS to lead the business in the aforementioned and other data driven protocols
• Adaptable to clients changing needs and requirements
• Demonstrated ability to clearly understand and buy in into the company's business strategy.