Position: Data Scientist
Company: Luxoft
Experience required: 3y
English level: upper

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 London and Middle East practices.
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.

Current Projects
Current projects include (among others):
◆ Fraud Analytics
◆ Procurement Analytics
◆ NLP, semantic search and information extraction
◆ Analysis and development of predictive analytics for trading in certain markets
◆ Revenue prediction
Responsibilities:
Your Responsibilities
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 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
◆ 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
Mandatory Skills:Data Science, Artificial Intelligence, Presentation Skills, Communication Skills, Python, Machine Learning, Analytical Skills
Nice-to-Have Skills:Big Data, Matlab, Natural Language Toolkit (NLTK), PyTorch, Tableau, KNIME, SAS Enterprise, ISPSS, Qlik, PowerBI, Keras, Banking, Dataiku, TensorFlow