Description
My client, a Bank and leading International Central Securities Depository, require 4 contract Senior Data Scientists. This company specialise in settling cross border transactions and have flagship offices in Belgium, Finland, France, Ireland, the Netherlands, Sweden and the United Kingdom.
This urgent requirement for 4 Senior Data Scientists is based in Brussels, Belgium. This 12 month contact was due to start in December, but due to a lack of skilled applicants, this is still an immediate job requirement. Our client ranks among the highest rated companies within the financial industry - for over a decade.
The successful Data Scientist will be joining a growing team, performing advanced analytics including (Big Data Analytics) to meet business requirements. You will be using statistical, mathematical, and predictive modelling skills to build a comprehensive platform for data analysis. You will also be using Business Intelligence tools including visualization, Excel and other BI Tools to create analytical models.
This Data Science job opportunity requires a fluent English speaker who would like to relocate or remain in Brussels, Belgium. This is a great opportunity for a work within a prestigious company, gaining collaborative Big Data experience within a Hadoop environment.
Key Requirements:
Have the ability to use the Hadoop environment with Hive querying skills
Be able to build data models using programming languages and scripts (eg- R/Python)
Have an understanding of and use skills for Machine Learning, Statistical Analysis, Predictive Modeling, and Hypothesis Testing
Key skills:
5+ years experience with statistical analysis.
2+ years experience working in a Hadoop environment.
2+ years experience and hands-on knowledge of R to develop statistical models
In depth knowledge and competence in SQL
Experience working with Hadoop (Cloudera, Apache, Hortonworks, etc.) and working with MapReduce development, using Pig and Hive
Advanced skills/expertise in data mining, text mining or distributed computing
Proficiency at transforming data, data classification and translations, as well as resolving data quality, data linkages and data cleansing issues
Intermediate design and use of relational databases including experience working with dimensional modelling, star schemas and working with time-series data
Excellent research and analytical skills
Proven written and oral communications skills as well as liaising with stakeholders
Excellent consulting and advisory skills and background in requirements solicitation and synthesis
Desired Skills:
Experience with NoSQL databases such as Cassandra, Hbase, CouchDB, Mongo DB
Education
MS, PhD or equivalent in Statistics, Applied Math, Machine Learning or a related field
If your experience matches these requirements, please contact Hollie Bayliss - Big Data Consultant on (see below)