Artificial Intelligence and Machine Learning (AI & ML) is revolutionising large parts of the financial services industry..
Excelian's Digital Consulting team is investing in these technologies, and is actively building up a new AI, ML and Analytics Practice across a number of regions.
In particular, we are therefore looking to hire Data Scientists into our Abu Dhabi and Dubai practices.
You will be conducting analysis, design and development of AI and Machine Learning prototypes, and POCs, and assisting to deploy these into Production.
You will be working with some of the leading organizations in the region, and collaborating with other teams in our practice.
We are interested in hearing from individuals with a strong AI & ML background. Deep Learning and NLP, and associated techniques are of particular interest.
Current projects include (among others) :
NLP, semantic search and information extraction on a large corpus
Analysis and development of predictive analytics for trading in certain markets
Fraud / anomaly detection
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics and data science to :
Analyse, design and develop AI & ML prototypes and proof of concepts
Identify and analyse data sources, whether internally or for clients, and perform feature engineering for integration into models
Build analytical data models on ML platforms, to successfully realise client goals
You will assist the practice in :
Developing practice thought leadership materials Participating in pre-sales work and client work as necessary
Discovering and verifying opportunities for new business Helping to structure work, planning new analyses, translating business questions into analytical projects
You will collaborate with business and technology partners to grow and develop the data science practice
Strong modelling skills in one or more of neural networks, classification, clustering and regression problems, NLP, multivariate analysis (MVA), time series, and similar
Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, pytorch, NLTK, DSSTNE and various others
Solid engineering and scripting skills in one or more of Python, R, SAS, Matlab and SPSS
Excellent analytical skills
Strong communication and presentation skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams
Post-graduate degree in Mathematics, Statistics, Engineering, Computer Science, Computational Statistics, Physics, Operations Research or other similar quantitative field
At least two years of experience in data science, in particular in designing, developing, validating, and deploying predictive models
Experience with advanced Machine Learning techniques including neural networks, deep learning, and reinforcement learning, as well as a background in more classic machine learning techniques
Degree in Computer Science, or equivalent experience
At least two years of software development experience
Experience in using mainstream computer languages, eg Java, C# etc.
Experience in visualizing and communicating data using tools such as Qlik, Tableau, PowerBI or similar.
Good understanding of sourcing and wrangling data from big data sources
Experience in one or more platform, eg Dataiku, DataRobot, H20.ai, Knime etc.
Experience in the analysis of large, complex, multi- dimensional data-sets with a variety of analytical methods
Experience in projects involving cross-functional teams
English : Advanced / Fluent
Arabic : Advanced / Fluent