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

Project Description:
Our client is a leading global Financial Market data provider who runs several change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies covering the domains of Real-Time, Big Data, Cloud, and Machine Learning.

We are seeking a Lead Data Scientist to work within our data monitoring team experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems and have demonstrable relevant experience.
Responsibilities:
- Work with subject matter experts to identify opportunities for leveraging company data to solve data monitoring use cases.
- Mine, wrangle and analyse company data to provide insights and drive R&D activities and model preparation.
- Collaborate with colleagues/stakeholders on data acquisition, modelling and deployment.
- Assess the effectiveness and accuracy of data sources and data gathering techniques.
- Develop custom models and algorithms to applying to both real-time and non-real-time data.
- Use predictive modelling to increase and optimize pricing / service outage anomaly detection and other related use cases.
- Coordinate with different functional teams to implement models and monitor outcomes.
Mandatory Skills Description:
- 5-10+ years working as a Data Scientist with Lead experience.
- MSc or PhD in machine learning, computer science, mathematical science or similar.
- Experience in leading data science and/or other data scientists within a project.
- Able to articulate complex data science concepts to both technical and non-technical audiences
- Experience in Deep Learning and other Machine Learning techniques (e.g. regression, classification, topic modelling, time series, Neural Networks).
- Experience designing, implementing and testing Predictive Analytics models
- Strong Experience with machine learning in Python, SQL, Pandas, Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or equivalent
- Development of advanced algorithms in Python / JVM based languages where required
- Experience in Agile development methods
- Experience of working in cloud environments (Azure, GCP, AWS etc)
- Spark / Hive/ Big Data Tools (Athena/Big Query etc...)
- Financial services industry experience (pricing / time series)
- Previous experience in Anomaly Detection
- Excited about data science!