Data Scientist at Hiscox applying analytics to influence decisions across business functions. Collaborating with teams to leverage data for problem - solving and strategic insights.
About the role
- Data Scientist at Manulife leveraging data to deliver business value through analytical models and solutions. Collaborating with engineering teams to drive strategic insights and innovations.
Responsibilities
- Collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework
- Accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team
- Crafting, building, and deploying business interpretable and performant analytics solutions and applications
- Collaborate shoulder-to-shoulder with business experts
- Understand the business, the associated processes, systems & data environment
- Research, explore, and experiment with data driven business ideas
- Craft and develop analytics solutions to improve and re-imagine business process, to generate insights, and support strategy development
- Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners
- Deploy rich data and analytics content in business applications
- Elevate data and analytics skills in the business
Requirements
- Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
- Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
- Skilled with Python or similar languages
- 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles
- Can relax this requirement for PhD or equivalent experience
- Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
- Knowledge and experience in network and graph based analytics techniques including graph databases
- Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
- Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
- Passionate about working in a diverse group and contributing to an inclusive culture
Benefits
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension plan
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Generous paid time off program including holidays, vacation, personal, and sick days
- Full range of statutory leaves of absence
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