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Data Scientist
3-8 years
₹ 15.4 - 16.86L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
1 vacancy
Data Scientist
London Stock Exchange Group
posted 20d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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.
- 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
- 3+ years of Data Science project experience in Finance domain is preferred.
Employment Type: Full Time, Permanent
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Anonymous · Finance & Accounting
in Bangalore / Bengaluru
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