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4 London Stock Exchange Group Senior Data Scientist Jobs
Senior Data Scientist
5-10 years
₹ 28 - 35L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
Senior Data Scientist
London Stock Exchange Group
posted 4d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Design and develop new methodologies, quantitative models, analysis, and commentary (as relevant) that improve existing or developing new processes. Maintain and increase existing product performance and independent analysis. Follow, implement and enhance High Design Standards defined within LSEG. Collaborate and work with internal Departments, Partners & Team members to gather & build on Solution Ideas for challenges faced by Global Operation Groups.
Job Description:
- Data handling, data processing and python programming,
- Support delivery of new or enhanced capabilities by defining requirements and/or leading projects.
- Collaborate with business areas within Estimates Contents to discover opportunities for growing commercial performance and operation efficiency using Data Science and Data analytics Capabilities, Tools & Practices.
- Translate and convert business needs into solution requirements
- Propose and implement efficiency improvements to products and processes.
- Develop automated /machine learning solutions for sourcing/loading Company Forecast (Estimates) data into database.
- Build extraction solutions based on different Company & Financial Documents formats like PDFs, HTMLs, XMLs
- Collaborate well with Business Leaders, Content & Data Teams and Product groups for large-scale Analytical Projects to address Business problems and encash Opportunities
- Ensure Appropriate Resources are involved and participate actively in projects.
- Build POCs, visualizations and pipeline tools for product design and development.
- Work with development groups for deployment of analytics solutions.
- Maintain process documentation.
- Act as a champion for data science and guiding business users and peers on analytical techniques, tools, and technology.
Knowledge & Skill:
- Extensive experience in using Python & Data Science Skills
- 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 common understanding and precision to complex/poorly structured problem areas statements.
- Proficient in machine learning algorithms such as decision tree, Random Forest etc.
- Excellent understanding of NLP concepts e.g word2vec, bag of words, embeddings.
- Experience in designing, developing, and deploying sophisticated statistical models based on machine learning and deep learning algorithms.
- Excellent 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 Use Cases (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 content partners.
Good to have:
- Significant experience in working with Financial Markets, Capital Markets and Data Companies.
Qualification:
- Bachelors/Masters or equivalent in Engineering or Higher education in Statistics, Mathematics or related quantitative subject area with Data science certification
Desired Skills:
- 5+ years of Data Science project experience in Finance domain is desired.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Scientist roles with real interview advice
What Senior Data Scientist at London Stock Exchange Group are saying
Rating based on 1 Senior Data Scientist
review
Anonymous · Data Science & Analytics
in Bangalore / Bengaluru
Likes
Great culture. Big on work life balance. Managers are understanding and thoughtful about your career progression. Overall a great company to work at.
- Salary - Good
+4 more
Dislikes
Can't expect high rewards or seasonal gifts like one gets at other company. Although no real dislikes about the company
Senior Data Scientist salary at London Stock Exchange Group
reported by
9
employees
with 5-12
years exp.
₹28
L/yr - ₹35
L/yr
12%
more
than the average Senior Data Scientist Salary in India
View more details
What London Stock Exchange Group employees are saying about work life
based on 836 employees
Flexible timing
Monday to Friday
No travel
Day Shift
London Stock Exchange Group Benefits
View more benefits
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