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pp- analytics specialist (e-band) in Bengaluru

bengaluru, karnataka
Information Technology
position type
reference number
randstad india
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job description

?� Initiate, lead and drive analytics projects from inception to completion with minimal guidance
� Build-up sustainable relationship with key business and IT stakeholders to become a trusted partner for the field of data analytics.
� Apply analytical methods and algorithms to build data products that streamline the process from data collection to insight generation.
� Foster new data-driven approaches to generate business insight in order to address unanswered business problems in a proactive way.

?experience in analytics (machine learning, data mining).

Client Introduction
?The Information Analytics Service unit supports Swiss Re's business functions in generating insights and creating data driven products from structured and unstructured data for their business and strategic initiatives.
An interdisciplinary global team of professionals in machine learning, data & text mining and visual analytics provides end to end analytics services that deliver business value to our internal customers.


?analytics (machine learning, data mining).R, Matlab


� Master's or Ph.D. in a quantitative discipline: e.g., computer science, statistics, applied mathematics, physics, operational research, engineering.
� 5+ years of experience in analytics (machine learning, data mining).
� Strong analytical & conceptual skills to understand key business needs and design tailored solutions to solve specific business problems.
� Ability to communicate complex analysis results in a clear, precise and actionable manner.
� Proven track-record in implementing business solutions in the area of information retrieval, natural language processing, data analytics and information visualisation.
� In-depth experience with statistical computing languages such as R, Matlab, etc.
� Proficiency in at least one of the following programming languages: Python, Java or Scala
� Fluency in relational databases/SQL.
� Experience with large data sets and the Hadoop ecosystem (Spark).
� Experience in building scalable data pipelines/data engineering
� Basic abilities in DevOps (Bash, Unix)
� Excellent verbal and written English skills, ideally multi-lingual.
� Project management experience preferred
� Experience in deployment of Machine Learning algorithms in production is a
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