Job Description :-
| Company: | LSEG |
| Job Role: | Data Scientist |
| Batches: | 2021-2025 |
| Degree: | Bachelor’s/Master’s degree |
| Experience: | Freshers/Experienced |
| Location: | Bangalore, India |
| CTC/Salary: | INR 4-9 LPA(Expected) |
Role Responsibilities & Key Accountabilities:
– Supports projects, leveraging technical expertise to remove obstacles and to find creative solutions.
– Builds data science products and solutions utilising data science techniques directly.
– Creates compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics.
– Builds and uses domain expertise in financial market content, data science and LSEG data and products.
– Writes highly optimised code for LSEG products and solutions.
Qualifications & Experience:
– Degree or equivalent
– Moderate experience in a data science related role
Job Description
The Fixed Income Reference team collects, manages, and supplies content related to Bonds . This content is used extensively across by clients and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
The role of the Data Scientist is to:
Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
Essential Day-to-Day Responsibilities:
- Data handling, data processing and programming
- Develop automated solutions for sourcing/loading Fixed Income Reference data into Database
- Analyze Fixed Income Reference content to establish patterns/trends
- Develop, improve and run quantitative models
- Generate solutions through AI & machine learning for core processes
- Work with business, content and product groups for large-scale analytics problems
- Build POCs, visualizations and pipeline tools for product design and development
- Work with development groups for deployment of analytics solutions
- Interact with other internal teams as needed, with supervision.
Knowledge & Skills:
- Understanding of algorithms, model building, and evaluation
- Strong understanding of machine learning algorithms
- Knowledge of neural networks and deep learning frameworks
- Extensive experience using Python or R or equivalent
- Skills in transforming and preparing data for model training
- Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
- Solid relational database skills
- Solid understanding of statistics and statistical language such as R
- Ability to handle large quantities of data
- 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
Qualification:
Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification.
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