LSEG is hiring Junior Data Scientist position Off-Campus Drive 2025
LSEG is hiring Junior Data Scientist position Off-Campus Drive 2025
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LSEG Openings | 2025 Freshers Hiring
About Company
The London Stock Exchange, located in Paternoster Square near St Paul’s Cathedral in London, England, is one of the world’s major stock markets. As of July 2024, the combined market value of all companies listed on the LSE reached approximately US$3.42 trillion.
Job Analysis
LSEG Off Campus 2025 for the Data Scientist. Students from various disciplines can apply for LSEG Recruitment 2025. The detailed eligibility, Requirements, Salary, and application process are given below.
Company Name | LSEG |
Job Role | Data Scientist |
Qualification | Computer Science Graduate |
Job Location | Banglore |
Last Date | ASAP |
LSEG Hiring Off Campus- Eligibility Criteria
Candidates should hold a Bachelor’s or Master’s degree in Engineering, Statistics, Mathematics, Data Science, or a related quantitative discipline, preferably with a Data Science certification. Understanding of SQL, relational databases, REST APIs, web scraping, and data handling is required, along with good communication and presentation skills.
Role Responsibilities
Building, testing, and refining next-gen tools used to test cutting-edge networks and hardware.
Translating feature requirements into actual engineering tasks (basically, turning ideas into real software).
Working closely with global teams —
Handle data processing, data handling, and programming tasks
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Define requirements and support delivery of new or enhanced capabilities
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Translate business needs into solution requirements and specifications
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Propose and implement improvements to products and processes
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Develop automated solutions for sourcing and loading fundamental data
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Analyze legal entity data to identify trends and patterns
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Build extraction solutions for various document formats
developers, product owners, tech experts — to deliver high-quality solutions.
Desired Skills
You’d be a great fit if you have:
1+ year of Data Science project experience in the Finance domain (preferred)
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Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn
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Experience with deep learning frameworks like TensorFlow or PyTorch
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Strong understanding of AI, ML technologies, LLM/SLM models
Check the eligibility criteria do not forget to fill it before the deadline.
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