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Analytics Specialist
Place of work
Karadžičova 12, Bratislava
Karadžičova 12, Bratislava
Contract type
full-time
full-time
Information about the position
Job description, responsibilities and duties
The Information Analytics Service unit supports Swiss Re's 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:
• Analytics Consulting
Defining the business question to be answered with appropriate analytics models
• Analytics Modelling & Prototyping
Validating analytics scenarios by means of functional prototypes or pilot solutions
• Analytics Engineering
Implementing analytics solutions to solve business issues and scale its usage
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 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 visualisation.
Key Tasks
• 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
• Standardise 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 (i.e., ad-hoc analysis request as well as business projects).
• 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.
• Analytics Consulting
Defining the business question to be answered with appropriate analytics models
• Analytics Modelling & Prototyping
Validating analytics scenarios by means of functional prototypes or pilot solutions
• Analytics Engineering
Implementing analytics solutions to solve business issues and scale its usage
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 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 visualisation.
Key Tasks
• 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
• Standardise 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 (i.e., ad-hoc analysis request as well as business projects).
• 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.
Employee perks, benefits
- stability
- flexible working hours
- occasional home office
- international environment
- "eco friendly" benefit
- more days of vacation
- paid sick leave
- more is discussed on personal interview
- flexible working hours
- occasional home office
- international environment
- "eco friendly" benefit
- more days of vacation
- paid sick leave
- more is discussed on personal interview
Requirements for the employee
Candidates with education suit the position
Secondary with school-leaving examination
University student
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
University student
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
Other knowledge
Java - Advanced
Python - Advanced
SQL - Advanced
Python - Advanced
SQL - Advanced
Personality requirements and skills
Essentials
• Bachelor's degree/Master Study (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 visualisation.
• 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 behavioural 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.
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
• Understanding of (Re-) insurance and/or financial services information needs.
• Familiarity with Big Data concepts, approaches and tools
• Project experience is a plus
• Bachelor's degree/Master Study (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 visualisation.
• 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 behavioural 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.
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
• Understanding of (Re-) insurance and/or financial services information needs.
• Familiarity with Big Data concepts, approaches and tools
• Project experience is a plus
Advertiser
Brief description of the company
As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.
Number of employees
1700 and more employees
Company address
Contact
Contact person: Lucia Vargova
ID: 2478068
Megjelentetés dátuma: 10.10.2016
2016-10-10
Régió: Bratislava Pozíció: IT Analyst, IT Consultant, Programmer, Software Engineer Cég: Swiss Re