AVP - Data Scientist - Insurance/Reinsurance

Job Title: Data Scientist (E Band)

Job Description:

A team of professionals in text, data and visual analytics provide services in three key areas:

- Defining the business question to be answered with appropriate analytics models

- Identifying and preparing the relevant information/data sources for analysis, and

- Validating analytics scenarios by means of functional prototypes or pilot solutions.

The Opportunity

To extend the existing Analytics Team we are seeking a 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 visualisation methods to answer business problems in different (Re-)Insurance domains.

- Designing and developing analyticssolutions 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 visualisation.

Key Tasks

- Contribute in an agile team of data scientists to develop data-driven solutions for various Insurance and Reinsurance business problems (i.e., ad-hoc analysis request as well as business projects).

- Establish a data ecosystem to manage pools of internal and external data, drive the adoption, utilisation and continuous improvement of new analytical methodologies to generate business insight.

- 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.

- Standardise analytical processes and workflows to streamline service provision as well as further develop the company's Analytics Suite.

- Ensure further development of the company's Analytics Suite in interplay with system engineers, solution architects and internal business experts.

- 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 You

Essentials

- Master Study or Ph.D. in a quantitative discipline: e.g., statistical, applied mathematics, physics, operations research, computer science or computer engineering.

- 3+ years of experience in relevant areas of advanced analytics.

- Strong analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems.

- Ability to translate business problems into information & mining questions and communicate complex analysis results in a clear, precise and actionable manner.

- Expert knowledge in a combination of analytic, scripting and visualisation tools for the integrated analysis of transactional, text, speech and behavioural data.

- Proven track-record in implementing business solutions in the area of information retrieval, natural language processing/text mining, data analytics and information visualisation.

- In-depth experience with statistical computing languages such as R, Matlab, SAS, SPSS.

- Fluency with at least one programming language such as Python, Java.

- Proficiency in relational databases/SQL.

- Excellent verbal and written English skills, ideally multi-lingual.

Behavioural Competences

- 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

Desired

- Knowledge/experience in the field of behavioural analysis

- Familiarity with Big Data concepts and tools

- Project management experience is a plus