Data Scientist (Structing & Solutions) needed at Guardrisk

Role Purpose    

• The primary purpose of the Data Scientist is to derive business value from Data. The Data Scientist will be required to proactively fetch information from multiple data suppliers and then conduct sophisticated and systematic analysis of the data to extract actionable insights. The extracted data must be stored in an appropriate internal / external environment for which a database structure must be expanded as needed. There might also be an element of client engagement needed to communicate strategic results back to the client. The role requires the use of advanced analytics technologies and strong statistical methods, which potentially and over time could include the use of machine learning techniques and the use of predictive modelling. This is a data driven role and a solid understanding of statistics and data wrangling methods is required. There is a further requirement to use software skills. The ability to communicate findings as well as working methods across to both technical and business audiences is very important.

Requirements    

• Bachelor’s degree in sciences or engineering with a strong focus on computer science, statistics mathematics and / or actuarial sciences
• Fluency in Python, SQL and R
• Beneficial if fluent in any of the following programming languages (C#.Net, C, C++, Visual Basic, SQL)
• Preference for a minimum of 3-5 years of experience in a data warehousing, data sciences and/ or modelling environment
• Good understanding of software languages and software infrastructure
• Experience in working with and analyzing data
• Beneficial : Insurance Industry Experience and Actuarial background

Duties & Responsibilities    

• Predictive modelling skills
• Knowledge of machine learning principles at a high level and ability to implement as and when needed
• Critical analytical thinking and attention to detail
• R, SQL, Python and JavaScript experience. High level of competency required in Python and SQL
• Beneficial to have experience deploying web applications to Azure
• Spark experience 
• Version control principles
• This includes consuming data from either files /databases or online sources
• Validating data from multiple sources
• Data version control and data integrity for auditing
• Geo Spatial Analysis
• Using Business Intelligence tools like PowerBi to give insights into data findings
• Analyze and document processes that translates into deriving value form data
• Understand the insurance operational environment
• Be able to self-organize
• Ability to self-motivate and work independently when needed
• Ability to work closely worth other stakeholders as successful output will depend on multiple technical areas
• Break down insurance processes and document this as a set of business requirements for data presentation
• Interpret reinsurance treaties in the context of individual data sets

Competencies    

• Analytical 
• Business acumen 
• Collaborative