Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services


Data Scientist/Machine Learning Specialist, Moscow

Project Description

The project for a global investment management firm that manages approximately $38.1 billion in assets as of March 1, 2019. The firm employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies across a wide group of diversified managers.


We are seeking a team-oriented individual who can add value to its Equity Technology Research & Development team. It is an exciting opportunity to work in a R&D Lab environment that would allow the individual to research existing and emerging machine learning models, experiment with model mapping to data-sets, machine learning training & inference frameworks/tools, and machine learning training & inference acceleration. The individual will also collaborate with application development and infrastructure teams in evolving machine learning strategy, reviewing architecture, performance analysis & tuning, prototyping reference implementations around machine & deep learning.



Master's degree or PhD in Computer Science, Engineering, Economics, Mathematics, or other quantitative fields
5+ years of experience with programming in Python/R
3+ years of experience with various machine learning related frameworks & tools such as tensorflow, keras, scikit-learn, spark and other
3+ years of experience with various machine learning, deep learning, statistical and data mining techniques
Excellent understanding of the theory behind Machine Learning and Deep Learning, and experience with common Deep Learning models such as CNN, RNN/LSTM and other
Experience with working in a Linux environment
Must be passionate about technology and should stay abreast of the latest industry practices and technological innovations.
Self-starter and must have excellent problem solving skills

Nice to have

Experience with using cloud technologies such as AWS stack or GCP stack will be a plus
Experience with financial time-series analytics, alternative data will be a plus


  • English: Advanced/Fluent

Relocation package

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