LSEG Off Campus Drive 2026 | Machine Learning Intern | Bangalore
🏢 Company: London Stock Exchange Group (LSEG) | 📍 Location: Bangalore (Onsite) | 💼 Role: ML Intern | 🎓 B.Tech Data Science/CS
🚀 LSEG (London Stock Exchange Group) is actively hiring passionate students for a Full-time Semester Machine Learning Internship in Bangalore. Join their Innovation and Intelligence team to build and deploy real-world GenAI and information retrieval solutions, with the potential for a Pre-Placement Offer (PPO)! Check eligibility and apply before April 11th.
LSEG's internship program provides hands-on experience with live AI solutions, direct mentorship from senior data scientists, and exposure to enterprise-scale systems. If you have a solid foundation in Python and PyTorch/TensorFlow, this is your launchpad into global financial markets tech.
Are you a Data Science student looking to make a significant impact on global financial infrastructure? LSEG is searching for a curious Machine Learning Intern to join their Operations division at the RMZ Infin Tower in Bangalore. You will work on real data and real business problems, building end-to-end machine learning pipelines and prototyping new GenAI approaches.
- Organization: London Stock Exchange Group (LSEG)
- Role: Machine Learning Intern
- Requisition ID: R0118342
- Location: Bangalore, Karnataka, India (Onsite)
- Duration: Full-time Semester Internship
- Perks: Eligibility for a performance-based Pre-Placement Offer (PPO)
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LSEG Machine Learning Intern Eligibility 2026
This internship is aimed at current university students looking for a full-time semester commitment. You are expected to have a solid programming foundation and a strong willingness to experiment and collaborate.
| Category | Details |
|---|---|
| Company | London Stock Exchange Group (LSEG) |
| Job Role | Machine Learning Intern |
| Degree Eligibility | Currently pursuing a B.Tech in Data Science, Computer Science, or related field |
| Career Stage | Associate / Internship |
| Work Location | Bangalore, Karnataka (Tower E, RMZ Infin) |
| Work Model | Onsite, Full-time Semester Internship |
💰 Top Tier AI/ML Internship Stipends & PPO Potential
Securing an internship at a leading financial markets infrastructure provider like LSEG not only provides a highly competitive monthly stipend but also serves as a direct pipeline to a lucrative full-time Pre-Placement Offer (PPO).
| Company / Profile | Typical Role | Estimated Stipend / PPO | Primary Focus / Keywords |
|---|---|---|---|
| LSEG (Intern Hiring) | ML Intern | ₹40k - ₹60k/month (High PPO Potential) | Python, PyTorch, GenAI, Data Science |
| Cognizant (Exp. Hiring) | GenAI Engineer (3-6 Yrs) | ₹12.0 LPA - ₹20.0 LPA+ | Python, LLMs, RAG, FastAPI |
| AccioJob Mega Drive | Implementation Engineer | ₹12.0 LPA - ₹16.0 LPA | Configuration, Support, Client Tech |
| GlobalLogic | Associate Analyst | ₹2.5 LPA - ₹4.0 LPA | Data Annotation, Remote, Freshers |
🎯 Key Responsibilities & Expected Tech Stack
This hands-on role will have you training, testing, and evaluating models using production-grade data alongside experienced data scientists.
| Skill Category | Specific Knowledge / Tasks | Expected Proficiency |
|---|---|---|
| Programming | Strong experience writing Python for data analysis and ML workflows. | High |
| ML Frameworks | Hands-on exposure to core frameworks such as TensorFlow or PyTorch. | High |
| Core ML Concepts | Understanding of classification, regression, neural networks, and transformers. | Intermediate - High |
| Generative AI Tools | Interest in or exposure to LangChain, LangGraph, or LlamaIndex. | Basic (Nice to have) |
| Collaboration | Clear communication, ownership, sharing work through demos, and working in cross-functional teams. | Essential |
🚀 LSEG Internship Interview Process
LSEG’s interview process for interns focuses on your foundational computer science knowledge, problem-solving skills, and enthusiasm for the financial technology space.
- Step 1: Resume Screening: Recruiters look for B.Tech students in relevant fields with academic projects or personal GitHub repositories demonstrating Python and ML framework usage.
- Step 2: Online Coding/Aptitude Assessment: Typically involves Python algorithmic challenges and foundational data science/statistics multiple-choice questions.
- Step 3: Technical Interview: A deep dive into your academic projects. Expect to explain your choice of models (e.g., why random forest vs a neural network), how you handled data cleaning, and core ML concepts.
- Step 4: Hiring Manager / HR Round: Assessing your curiosity, willingness to experiment, and cultural fit within LSEG's values of Integrity, Partnership, Excellence, and Change.
💡 Skills to Highlight in Your Interview
Prepare to showcase your end-to-end understanding of how models move from idea to prototype:
- Data Handling: Be ready to discuss how you approach messy or incomplete data sets using Pandas/NumPy before training a model.
- Model Evaluation: Explain the difference between metrics like precision, recall, and F1-score, and when to use them.
- GenAI Enthusiasm: Even if it's just self-study, mentioning how you've experimented with LangChain or OpenAI's API shows great initiative.
- Communication: Be prepared to explain a complex machine learning concept to the interviewer as if they had no technical background.
📝 ATS Resume Guide (ML Intern Edition)
Optimize your resume to pass the initial screening for competitive internship roles:
- Python (Pandas, NumPy, Scikit-Learn)
- TensorFlow / PyTorch
- Machine Learning Pipelines
- Classification, Regression, Neural Networks
- Generative AI & Information Retrieval
- Data Extraction & Prototyping
- LSEG Data Science Intern Stipend
- Machine Learning Internship Bangalore
- B.Tech CSE Internship 2026
- Pre-Placement Offer (PPO) IT Jobs
- Financial Markets AI Internships
Official Application Link
🔥 Important Note: The deadline to apply for this LSEG role is fast approaching (April 11). Semester internships with PPO tracks at global finance companies are extremely competitive. Submit your application today!
- The application is managed via the official LSEG Workday Careers portal.
- Ensure you have your updated resume ready, emphasizing academic ML projects, Python skills, and relevant coursework.
- Click the application link below to navigate to the specific job requisition (Job ID: R0118342).
- Create an account or sign in to complete your applicant profile.
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Disclaimer
This post is for educational and informational purposes only to help candidates prepare. We are an independent job notification portal and are not affiliated directly with LSEG. Always verify job details, compensation, and locations directly on the official LSEG careers portal before applying.
Frequently Asked Questions (FAQs)
What does LSEG do?
The London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider, empowering economies and enabling customers to create sustainable growth.
What is the role of an ML Intern at LSEG?
The ML Intern will build and improve end-to-end machine learning pipelines, apply Generative AI techniques to solve practical problems, and create prototypes within the Innovation and Intelligence team.
What are the core skills required for this LSEG ML Intern job?
Candidates must be pursuing a B.Tech in Data Science/CS, possess strong Python skills, have hands-on exposure to ML frameworks (TensorFlow/PyTorch), and an interest in GenAI tools (LangChain/LlamaIndex).
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