Data Scientist Job Openings At LSEG | Bangalore

Qualifications

Qualification:

• Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
• Any Degree along with  expertise in programming languages like Python , VBA , SQL etc

Desired Skills:

• Knowledge of LSEG proprietary systems for automations including LEAD & DEMING.
• Understanding of Ownership and Profile content and marketplace.
• Understanding of 6 sigma principles.

Knowledge & Skill:

• Proficiency in ML, deep learning, and statistical analysis techniques.
• Extensive experience on using Python, Power Apps, SQL…
• 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
• Certified (or attempting) as a Lean / Six Sigma green/black belt with practical experience in Lean Project Management along with practical experience in coaching, facilitation, Lean deployments, and Lean projects
• Project management or/and Process optimization experiences (can have been informal as part of wider roles and responsibilities, but must be demonstrable if so)

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 Responsibilities:

• Data handling, data processing and programming
• Develop and deploy machine learning and deep learning models to solve complex problems
• Develop automated solutions for sourcing/loading Entity data into Database
• Analyse Legal entity content to establish patterns/trends
• Develop, improve and run quantitative models
• Generate solutions through machine learning for core processes
• Implement web scraping techniques to gather relevant data from various sources.
• 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
• Work with large language models (LLMs) for natural language processing tasks.
• Interact with other internal teams as needed, with supervision.