Junior Data Scientist – Job Description Summary
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.
Job Description :-
| Company: | LSEG |
| Job Role: | Junior Data Scientist |
| Batches: | 2021-2025 |
| Degree: | Bachelor’s/Master’s degree |
| Experience: | 1+ years of experience |
| Location: | Bangalore, India |
| CTC/Salary: | INR 6-15 LPA (Expected) |
Job Description
- Data handling, data processing and programming
- Support delivery of new or enhanced capabilities by defining requirements and/or leading projects
- Translate business needs into solution requirements. Write functional and non-functional specifications
- Propose and implement improvements to products and processes
- Develop automated solutions for sourcing/loading fundamentals data into database
- Analyze Legal entity content to establish patterns/trends
- Build extraction solutions based on different document formats
- Develop, improve, and run quantitative models
- Generate solutions through 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.
- Maintain process documentation
- Testing and validation of tools and processes
Knowledge & Skill:
- Extensive experience in using Python or equivalent
- Experience in AI / ML Technology implementation, Agentic, LLM / SLM models
- Experience in designing, developing, and deploying advanced statistical models based on machine learning and deep learning algorithms.
- Solid understanding of statistical 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
- Solid understanding of relational database and SQL skills.
- Good understanding of REST API architecture and containers (Kubernetes or Docker).
- 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:
- Bachelors/Masters in Engineering or Higher education in Statistics, Mathematics, Data Science or related quantitative discipline with Data science certification
- Desired Skills:
- 1+ years of Data Science project experience in Finance domain is preferred
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