Data Scientist

  • luxoft
  • London, UK
  • 23/11/2018
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Artificial Intelligence Data Management Statistics Software Engineering

Job Description

Role Overview

  • Artificial Intelligence and Machine Learning (AI & ML) is revolutionising large parts of the financial services industry..
  • Excelian’s Digital Consulting team is investing heavily in these technologies, and is actively building up a new AI, ML and Analytics Practice – we are therefore looking to hire Data Scientists into our newly-formed London AI & ML team. This will complement our existing Digital
  • Experience, Data Science, Big Data Engineering, Cloud and Grid Computing, and DevOps areas.
  • The new practice is a start-up environment within a large company – you will be conducting analysis, design and development of prototypes and POCs, using cutting-edge techniques, and with major clients. However, we are not alone – there is an active AI community within the broader Luxoft, focussed on other verticals (eg automotive and healthcare).
  • We are interested in hearing from individuals with a strong AI & ML background. Deep Learning and NLP, and associated techniques are of particular interest, as is AI / human interaction.

Current Projects

Current projects include (among others):

  • Extraction of information about trades and market features from instant messages and various other channels
  • Analysis and development of predictive analytics for trading in certain markets
  • Development of sector-specific intelligent assistants
  • Capital Optimization

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 prototypes and proof of concepts
  • Identify and ingest 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

Skills

MUST

Your Skills Required:

  • 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, Theano, and DSSTNE
  • 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

Desired:

  • Experience in using mainstream languages to acquire, clean, and model large data sets.
  • Experience in visualizing and communicating data using tools such as Qlik, Tableau, or packages d3.js, and Seaborn.
  • Good understanding of sourcing and wrangling data from warehouses, Big Data (e.g. Hadoop, Spark) and other sources using SQL and scripting

Your Experience Required:

  • 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

Desired:

  • Experience in the analysis of large, complex, multi- dimensional data-sets with a variety of analytical methods
  • Experience in projects involving cross-functional teams

Languages

  • English: Advanced/Fluent