Artificial Intelligence and Machine Learning (AI & ML) continues to revolutionise the financial services industry.
DXC-Luxoft's Banking and Capital Markets and Insurance 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 looking to hire Data Scientists with experience with Financial Services and/or Fraud backgrounds, into our European practices. We are building out a large AI-based anti-fraud platform, which is provided to clients on a SaaS platform. We are expanding due to the success of the product, and the size of the client pipeline.
You will be conducting analysis, design and development of AI and Machine Learning models, and POCs, and assisting to deploy these into Production. You will be working with leading financial services organizations in the region, and collaborating with other teams in our practice.
We are interested in hearing from individuals with a strong Data Science, and AI & ML background. A background in financial services would be advantageous, as would experience in model deployment.
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics, data science, software engineering and the underlying business in order to:
◆ Analyse, design and develop AI & ML models and Proof of Concepts
◆ Identify and analyse data sources, whether internally or for clients, and perform feature engineering for integration into models
◆ Work with Development and DevOps teams where necessary, to deploy models on ML platforms into Production, and 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
◆ 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 some or all of the major machine-learning areas
◆ Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, pytorch, NLTK and others
◆ Solid engineering and scripting skills in one or more of Python, R, SAS, Matlab and SPSS
◆ Excellent analytical skills
◆ Strong communication skills
◆ 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 Machine Learning techniques
Nice to have
◆ Experience in one or more commercial platforms, eg Dataiku, Watson, DataRobot, H20.ai, Knime etc.
◆ Experience in visualizing and communicating data using tools such as Qlik, Tableau, PowerBI or similar.
◆ Experience in using mainstream computer languages, eg Java, C# etc.
◆ Good understanding of sourcing and integrating data from big data sources
◆ 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: C2 Proficient
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