Our Large Defence customer are looking for a Data Scientist to work with them on a exciting programme of work, in return they are willing to offer a high daily rate and the flexibility of working from home.
If you think this could be for you then it would be great to hear from you!!!
*Mathematics (ideally degree level or above in STEM subject, or equivalent)
*Experience of Python programming language
*Exposure to some or all of the following Python libraries: Numpy, Pandas, Scikit-learn
*Experience of ingesting, processing & cleaning large datasets
*Experience of producing analytical reports and drawing insights from large datasets, particularly for a non-technical audience
*Experience of machine learning algorithms:
*Supervised techniques (e.g. Random Forest, XGBoost, Neural Networks)
*Unsupervised techniques (e.g. Clustering algorithms; K-Means, DBSCAN)
*Exposure to one or more of Keras, Tensorflow, PyTorch
*Basic statistical knowledge; e.g. normal distribution, correlation
*Exposure to Big Data platforms: e.g. Apache HDFS, Spark, Hive
*Basic experience of writing efficient SQL queries
*Awareness of modern data visualisation techniques
Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 18 weeks.
LA International Computer Consultants Ltd is an HMG Approved Consultancy and operates as an IT & Engineering Consultancy or as an Employment Business & Agency, depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, we welcome applications from all sections of the community and from people with diverse experience and backgrounds.
Award Winning LA International Computer Consultants Ltd (Recruiter Awards for Excellence - Best IT, Best Public Sector & Gold Awards) and the most prestigious award that any business can receive The Queens Award for Enterprise: International Trade 2015.