Description
DV Cleared Data Scientist | On Site - Corsham & Chippenham | 6 months | INSIDE IR35
Here at Jefferson Frank we are proud to be continuously supporting a large IT and Business consultancy in pursuit of a Data Scientist. This is an exciting opportunity for Data Scientists to join a diverse team of technical professionals delivering an innovative big data capability for a Government client.
As a Data Scientist you will help the client to realise the hidden potential of their data through a combination of data mining, machine learning and exploitation of leading edge data science tool sets. This role is operationally focused, extremely interesting and offers exceptional personal and professional development for any data scientist able to innovate and think completely outside of the box.
Mandatory requirements:
* Proficient with Python/Scala plus basic SQL (minimum)
* Proficient with common data science libraries/toolkits such as Pandas, SciKit-Learn, Numpy, Keras etc.
* Good Understanding of parallel processing frameworks such as Spark/Pyspark/Presto
* Good Understanding of statistics ie statistical distributions, hypothesis testing
* Good Understanding of Data Mining and Feature Engineering techniques
* Good Understanding of Machine Learning Pipelines/Algorithms, particularly unsupervised/semi-unsupervised learning techniques.
* A passion for learning new technologies and innovation.
Desirable:
* Understanding of different Big Data Stores Hive/HBase
* Experienced with Data Science Notebooks such as Zeppelin/Jupyter
* Understanding of how to design and leverage Graph Databases
* Comprehensive working knowledge and experience of Hadoop and exploitation tools that interact with Hadoop technologies.
* Experience of working in an Agile project delivery environment.
* Experience of working within an operational SOC/CSOC.
* Linux familiarity ie SSH, Hadoop Command -Line utilities
If you have the required skills and experience and would like to know further information then please apply with your CV at first instance.