Senior Data Scientist

Technical Skills

The ideal candidate needs to be proactive and enquiring in their approach, and ideally skilled/qualified in the following:
-Proven professional experience in data analysis.
-Experience in working with customer web tracking software.
-Experience with "Big Data" warehousing systems such as Hadoop, Java, R, Python, HDFS, MopReduce, Spark, Storm, HBase, Pig & Hive, Shark, Impala, Cascolog, ETL, WebScrapers, Flume, SqoopSQL, RDBMS, DW, OLAP, Knime, Weka, RapidMiner, D3.js, Gephi, ggplt2, Shiney, SSPS, Matlab, SAS, NoSQL, Mongo DB.
-NLP and predictive analytics knowledge.
-Knowledge of the banking and Finance sector.

Personal Skills

The ideal candidate will relish working in a fast paced, global, commercial environment.
-The right candidate will be an energetic driven Data Scientist who wants to make a difference and see revenue impact of their analysis.
-They will need to enjoy on occasion delivering a "view" quickly and efficiently to directors under the time constraints of a real time trading environment - where decisions which will deliver real minute by minute revenue and results
-Previous Banking & Finance industry experience would be an advantage

To find out more about Computer Futures please visit www.computerfutures.com