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LSEG Junior Data Scientist Bangalore freshers entry level candidates apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company
LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
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Job Overview
The position requires strong expertise in data analytics, NLP, deep learning, and data communication, along with the ability to learn financial content and core D&A business processes. The individual must stay current with emerging technologies and collaborate closely with operations groups and specialized machine learning teams to deliver scalable, high‑impact solutions.
The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value.
Role, Responsibilities & Key Accountabilities:
- 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.
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Required Skills:
- 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)
Preferred
- Exposure to financial services, investment banking, or related domains.
- Familiarity with Refinitiv or LSEG platforms and datasets.
- Experience working with distributed or global teams.
Education:
- Master’s degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence.
- Proficiency in Python, R, and SQL.
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