Data Scientist - Machine learning,R programming,Text mining,NLP,Visualization,Document Image Process
Job Title : Data Scientist (Associate)
Job Description :
The Information Analytics Service unit supports business functions in generating insight from structured and unstructured data for their business and strategic initiatives (e.g., Big Data & Smart Analytics and growth programs). 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 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.
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, utilization 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 Analytics Suite.
- Ensure further development 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 About us :
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 visualization 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 visualization.
- 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.
Behavioral 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
- Should be strong in technical side such as Machine Learning or Text mining/NLP.
- For experienced candidate, candidate has been working in technical roles (coding, implementing, developing data analytics techniques).
- In case of fresh Master and PhD candidates, we can focus on relevant area of studies (Math's, Statistics, Computer Science, Electrical Engineering) and publication record.
- Looking for candidates from test mining, document imaging, information extraction, information retrieval, document image processing (All comes under NLP)
- Under data visualization somebody who works on user computer interaction, human computer interaction (part of computer science domain), graphical user interface
- If NLP and machine learning candidates have good knowledge and experience into java or C++, it will be an added advantage
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