Junior Data Scientist at LSEG – Finance Domain Tech Role | Up to ₹12 LPA

Join LSEG as Junior Data Scientist in Bangalore – AI/ML, Python expertise needed, finance domain preferred, Great Place to Work certified.

Job Role & Category

Role: Junior Data Scientist
Category: Full-Time, On-site

Why Join LSEG? 🌟

LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider serving financial institutions across 65 countries with a workforce of 25,000 professionals. As one of the world’s most trusted financial market infrastructure providers, LSEG drives financial stability, empowers economies, and enables customers to create sustainable growth. The company operates major global exchanges including the London Stock Exchange, Refinitiv, and FTSE Russell, managing over $3.8 trillion in assets.

LSEG India has been certified as a Great Place to Work (June 2025 – June 2026), reflecting its commitment to creating an inclusive and innovative workplace. The company’s culture is built on four core values: Integrity, Partnership, Excellence, and Change, fostering an environment where diversity is celebrated and new ideas thrive. Through the LSEG Foundation, the company actively contributes to community development and financial independence initiatives globally.

Job Summary 📋

Join LSEG as a Junior Data Scientist where you’ll design and develop new methodologies, quantitative models, and analysis that enhance existing or new processes. You’ll work with various departments to grow new ideas and expand the scope of existing products while maintaining product performance and independent analysis standards. This role offers exposure to large-scale financial data analytics and cutting-edge AI/ML technologies in the finance domain.

Key Responsibilities 🔧

  • 📊 Handle data processing and programming for financial markets data
  • 🚀 Support delivery of new or enhanced capabilities by defining requirements and leading projects
  • 🔄 Translate business needs into solution requirements and write functional specifications
  • 🛠️ Develop automated solutions for sourcing/loading fundamentals data into databases
  • 📈 Analyze legal entity content to establish patterns and trends
  • 🤖 Generate solutions through machine learning for core processes
  • 🧮 Develop, improve, and run quantitative models for financial analysis
  • 🎯 Build POCs, visualizations and pipeline tools for product design and development
  • 🤝 Work with business, content, and product groups for large-scale analytics problems
  • 📝 Maintain process documentation and perform testing/validation of tools

Who Can Apply? ✅

Education Requirements:

  • 🎓 Bachelor’s/Master’s in Engineering OR
  • 📚 Higher education in Statistics, Mathematics, Data Science or related quantitative discipline
  • 📜 Data science certification required

Experience Level:

  • 💼 1+ years of Data Science project experience in Finance domain (preferred)
  • 👨‍🎓 Entry-level candidates with strong skills may be considered

Required Skills:

  • 💻 Extensive experience in Python or equivalent programming languages
  • 🤖 Experience in AI/ML Technology implementation, Agentic, LLM/SLM models
  • 🧠 Experience designing and deploying advanced statistical models using ML/deep learning
  • 📊 Proficiency with Scikit-learn, NumPy, Pandas
  • 🔧 Proficiency with deep learning frameworks (PyTorch, TensorFlow, etc.)
  • 🌐 Strong understanding of HTML, CSS and Web scraping
  • 🗄️ Solid understanding of relational databases and SQL
  • 🔌 Good understanding of REST API architecture and containers (Kubernetes or Docker)
  • 📈 Ability to handle large quantities of data
  • 💬 Strong written, communication and presentation skills

Work Location & Type 🌍

Location: 📍 Bangalore (TowerE, RMZ Infinity), India

Work Type: Full-time, Office-based

Remote Options: Not specified in job description

Salary Insights 💰

Based on industry standards for Junior Data Scientists at LSEG and similar financial institutions in India:

  • 💵 Expected Salary Range: ₹8-12 LPA for junior roles
  • 📈 Performance-Based Pay: Annual bonuses linked to individual and company performance
  • 🎯 Growth Potential: 15-20% annual increments with skill progression
  • 💼 Varies by experience: Higher compensation for candidates with finance domain expertise

Note: Actual compensation depends on qualifications, experience, and interview performance.

Perks & Benefits 🎁

LSEG offers comprehensive benefits tailored for employee well-being:

  • 🏥 Healthcare: Comprehensive medical insurance for employees and family
  • 💰 Retirement Planning: Structured retirement and pension plans
  • 🎯 Paid Volunteering Days: Dedicated days for community service
  • 🧘 Wellbeing Initiatives: Mental health support and wellness programs
  • 📚 Learning & Development: Access to training programs and certifications
  • 🌍 Global Exposure: Work with teams across 65 countries
  • 🏆 LSEG Foundation: Opportunities to participate in charitable initiatives

How to Apply 📝

📢 How to Apply for LSEG Recruitment 2025:

  1. ✅ Click on the “Apply” button below
  2. 📧 Sign in or create account on LSEG Careers portal
  3. 📝 Enter your credentials or set up a new account
  4. 📎 Upload your updated resume/CV
  5. 🎯 Fill in all required application details
  6. 👀 Review your application carefully
  7. 🚀 Submit your application (Job Requisition ID: R0113192)

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FAQs ❓

Q1: What is the selection process for LSEG Data Scientist role?

A: The typical process includes online application review, technical assessment covering Python, ML algorithms, and SQL, followed by technical interviews focusing on problem-solving and a final HR discussion.

Q2: Is finance domain experience mandatory?

A: While 1+ years of finance domain experience is preferred, it’s not mandatory. Strong technical skills in data science and willingness to learn financial concepts can compensate.

Q3: Will there be opportunities for international assignments?

A: LSEG operates in 65 countries globally, offering potential for international collaboration and assignments based on performance and business requirements.

Q4: What types of projects will I work on?

A: You’ll work on financial markets data analysis, quantitative modeling, AI/ML implementations for trading systems, and building analytics solutions for global financial institutions.

Q5: Does LSEG provide training for financial domain knowledge?

A: Yes, LSEG offers comprehensive learning and development programs including domain training, though specific details aren’t mentioned in the job description.

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