Data Scientist Job in Bangalore at London Stock Exchange Group

London Stock Exchange Group is hiring for the role of Data Scientist!

Responsibilities of the Candidate: 

• Data handling, data processing and python programming to support delivery of new capabilities by defining requirements and/or leading projects.
• Collaborate with business areas within fundamentals to identify opportunities for enhancing commercial performance and operation efficiency using data science and data analytics.
• Translate business needs into solution requirements and implement improvements to products and processes.
• Develop automated /machine learning solutions for sourcing/loading fundamentals data into database.
• Build extraction solutions based on different document formats like PDFs, HTMLs, XMLs
• Work with business, content, and product groups for large-scale analytics problems and ensure that optimal resources are being used in the projects.
• Build POCs, visualizations and pipeline tools for product design and development.
• Work with development groups for deployment of analytics solutions and maintain process documentation.
• Guiding business users and peers on analytical techniques, tools, and technology.

Requirements:

• Extensive experience in using Python or equivalent.
• Experience in version control systems like Git.
• Understanding of relational database and SQL skills.
• Proficient with Flask/Django (any one of the frameworks).
• Proficient in bringing clarity and structure to poorly defined problem statements.
• Well versed in machine learning algorithms such as decision tree, Random Forest etc..
• Good understanding of NLP concepts e.g word2vec, bag of words, embeddings.
• Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms.
• Solid understanding of statistics and probability concepts.
• Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas.
• Proficient with anyone of the deep learning frameworks like PyTorch, TensorFlow, etc.
• Strong understanding of HTML, CSS, and Web scraping.
• Strong Problem-solving aptitude/ Analytical Thinking.
• Good understanding of REST API architecture and containers (Kubernetes or Docker).
• Ability to handle large quantities of datasets.
• Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization.
• Strong written, communication and presentation skills. Able to respond and present work to peers, senior management, and other stakeholders.
• Good to have:
• Relevant experience in working with financial markets.
• Bachelors/Masters in Engineering or Higher education in Statistics, Mathematics or related quantitative discipline with Data science certification