Data Scientist, Loadsure

• This position requires a self-driven, high-energy, professional who’s passionate about disrupting an industry and wants to be rewarded for their performance and contributions
• You will be highly organised and comfortable building relationships and working with all levels of the firm
• Stakeholder management and communication will be vital to the success of the role
• C. 5-7 years experience within Data Science ideally with experience as an Data Scientist or similar
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced experience in pattern recognition and predictive modeling
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R)
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
• Accuracy and attention to detail
• Very strong communication skills - having the ability to explain technical concepts to a non-technical audience
• Self-starter who takes initiative
• Thrive in a fast-paced, high-growth, rapidly changing technical environment
• Enthusiastic about emerging technology and Insurtech

Desirable

• As a Data Scientist you will be a key member of the Data team collaborating with product and engineering teams to further develop an understanding of needs
• Your primary role will be to research and devise innovative statistical models for data analysis enabling smarter business processes by using analytics for meaningful insights
• While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realising the data’s full potential
• Collaborate with team members to collect business requirements, define successful analytics outcomes and design data models fit for current and future business questions
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers and machine-learning engineers
• Collaborate with the Loadsure Data team to support internal reporting requirements and client reporting
• Identify cost-saving and revenue opportunities
• Help the finance team by providing data-driven insights for financial planning, forecasting, and risk management
• Help the sales team by building models that can identify potential leads, predict customer churn, and optimize pricing strategies
• Help the actuarial team by analyzing claims data, developing risk models, and supporting pricing decisions
• Help the marketing team by analyzing customer behavior, segmenting audiences, and measuring the effectiveness of marketing campaigns
• Help the product team by analyzing product usage data, identifying areas for improvement, and developing new product features