Senior Analytics Specialist
India - Bangalore
About Swiss Re
This is your opportunity to join one of the world's leading reinsurers. Our reinsurance business at Swiss Re is about understanding and analysing the major risks that concern the world - from natural catastrophes to climate change, from ageing populations to cybercrime. We combine experience with expertise and innovative thinking to create new opportunities and solutions for our clients. And we enable the risk-taking essential to enterprise and progress. This is only possible with around 10,000 truly exceptional Swiss Re people across our group worldwide.
About The Role
Apply analytical methods and algorithms to build data products that streamline the process from data collection to insight generation
Validate, interpret and present data findings to both an expert and non-expert audience in tight
collaboration with analytics consultants
Standardize analytical processes and workflows to streamline service provision as well as further develop Swiss Re's Analytics Suite
Contribute in an agile team of data scientists to develop and deploy data-driven solutions for various Insurance and Reinsurance business problems
Foster new data-driven approaches to generate business insight in order to address unanswered business problems in a proactive way
Build-up sustainable relationship with key business and IT stakeholders to become a trusted partner for the field of data analytics.
About The Team
To extend the existing Analytics Team we are seeking a Senior Data Scientist who will contribute in accelerating the deployment and improvement of Analytical Services in tight cooperation with peers, internal experts and business clients. In particular, the role will involve generating business insight using data analytics and information visualization methods to answer business problems in different (Re-) Insurance domains. Designing and developing analytics solutions to move towards data-driven innovation in alignment with business priorities and key targets. Driving enhancements of analytics products and services to improve business value and service quality according to business needs and industry best practices. The ideal candidate has a background in computer science/engineering, computational linguistics or information science and possesses working experience in at least one (and ideally a combination) of the following domains: data & text mining, machine learning and information visualization.
8+ years of professional experience ideally with a background in (Re-) Insurance industry
Bachelor's degree/Master Study/PhD (completed or near completion) in computer science, computational linguistics or information science (or equivalent)
Knowledge and experience in the area of information retrieval, natural language processing, data analytics and information visualization
Sound analytical & conceptual skills to understand key business needs and apply existing and novel analytics solutions to solve specific business problems
Basic knowledge in a combination of analytic, scripting and visualisation tools for the integrated analysis of transactional, text, speech and behavioral data
Basic experience with statistical computing languages such as R, Matlab, SAS, SPSS
Knowledgeable in at least one programming language such as Python, Java
Experience in relational databases/SQL
Excellent verbal and written English skills, ideally multi-lingual.
Team player with a ‘can do’ attitude
Ability to work in an interdisciplinary and multi-cultural environment
High degree of flexibility, independent and proactive working style
Ability to work well under pressure and on multiple and conflicting priorities
Strong commitment to quality and timely customer service
Understanding of (Re-) insurance and/or financial services information needs
Familiarity with Big Data concepts, approaches and tools
Project experience is a plus
Pittsburgh, PA, United States
Bangalore, Karnataka, India
Dallas, TX, United States
Houston, TX, USA
State of Oklahoma - Oklahoma Public Employees Retirement System
Oklahoma City,OK,United States
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