London Stock Exchange Group is hiring for a fresher entry level Junior Data Scientist role in India

Position:

• Junior Data Scientist

Company:

• LSEG (London Stock Exchange Group)

Location:

• Bengaluru, India (Divyasree Technopolis)

Job type:

• Full-time

Job mode:

• On-site with flexible shift (12–9 PM) and on-call support as required

Job requisition id:

• R0102117

Years of experience:

• Not explicitly mentioned; 0-3 years as per JD

---

Company Description

• LSEG (London Stock Exchange Group) is a globally renowned organization leading the way in financial markets infrastructure and advanced data services.

• With a presence in over 70 countries and a diverse team of more than 25,000 professionals, the company plays a pivotal role in driving global financial stability and sustainable economic growth.

• Its mission is centered around enabling innovation, managing financial risk, and empowering economies to scale responsibly and efficiently.

• LSEG offers a wide range of services across financial data analytics, capital markets, and post-trade operations. It’s a trusted name for businesses looking to navigate complex market challenges and opportunities.

• The company promotes a strong culture of integrity, excellence, partnership, and adaptability. These values guide decision-making, customer engagement, and team collaboration.

• LSEG is committed to inclusion and belonging, celebrating diverse perspectives and fostering an environment where everyone can thrive, innovate, and grow.

---

Profile Overview

• This role belongs to LSEG’s Analytics Centre of Excellence, which operates as a specialized team combining data science, Python development, and business insights.

• As a Junior Data Scientist, you’ll be a part of a mission-critical unit that contributes to strategic, data-driven decision-making across departments.

• Your work will span diverse responsibilities—ranging from developing ML models to collaborating with stakeholders and refining financial analytics tools.

• You will focus on crafting robust solutions using large-scale datasets, and your technical input will have a tangible impact on the company’s strategic priorities and customer offerings.

• The ideal candidate is one who can blend technical expertise with a practical understanding of financial instruments and analytics, while being comfortable working independently.

• The role allows flexibility in work based on your core strengths and interests—be it coding, data modeling, or stakeholder engagement.

---

Key Responsibilities

Data Science and Modeling

• Develop and refine sophisticated machine learning models to support business decisions.

• Use statistical techniques and AI-driven approaches to unlock actionable insights from complex datasets.

• Collaborate on modeling initiatives, experimenting with algorithms to drive innovation in financial analytics.

• Apply data engineering and preprocessing techniques to ensure model readiness.

Python Development

• Build, maintain, and enhance Python-based applications aligned with business needs.

• Collaborate with other developers to ensure code quality, efficiency, and maintainability.

• Create scalable, modular code that integrates seamlessly with other data tools and platforms.

• Work on automation tasks that streamline data workflows and improve analytical delivery.

Requirement Analysis

• Partner with business teams to translate domain problems into data science solutions.

• Interpret and validate both quantitative and qualitative requirements for different projects.

• Assist in feasibility studies, contributing to technical assessments and realistic estimations.

• Ensure alignment of solutions with business strategies and measurable objectives.

Project and Process Contribution

• Play an active role in project planning, from design to execution and review.

• Identify opportunities for optimization and provide ideas to improve current systems and workflows.

• Take ownership of problem areas, proposing preventive measures and quick resolutions.

• Track and report progress, roadblocks, and outcomes clearly to stakeholders.

Independence and Responsibility

• Handle project responsibilities autonomously with minimal supervision.

• Show ownership of work, prioritizing tasks and managing time effectively in a dynamic environment.

• Embrace challenges that push the boundaries of your expertise, demonstrating accountability in high-impact tasks.

Communication and Collaboration

• Clearly communicate technical concepts to both technical and non-technical stakeholders.

• Work collaboratively across departments, building strong working relationships with analysts, developers, and product managers.

• Contribute to mentoring or guiding junior members when needed, fostering a spirit of learning and growth.

Shift and On-Call Flexibility

• Be open to working in a 12–9 PM shift to align with global teams and support requirements.

• Provide support during on-call situations, ensuring business continuity and timely troubleshooting.

---

Qualifications

• Proficiency in Python is essential, especially in developing maintainable, reusable scripts for analytics and system integration.

• Solid understanding of machine learning concepts, including supervised and unsupervised learning, clustering, regression, and classification techniques.

• Experience working with large-scale datasets, data wrangling tools, and frameworks like Pandas, NumPy, or Scikit-learn.

• Ability to work across the entire model lifecycle—from data ingestion and model building to validation and deployment.

• Familiarity with financial markets, investment strategies, and financial instruments such as derivatives, equities, and bonds.

• Strong grasp of mathematical foundations in quantitative finance, including pricing models and market behavior analysis.

• Skilled in gathering, validating, and analyzing business requirements to shape appropriate technical solutions.

• Excellent communication skills to explain models, outcomes, and recommendations to various stakeholders.

• Ability to thrive in a collaborative team setup and take on mentorship or leadership roles as needed.

---

Additional Info

• LSEG values inclusion and diversity, making it a priority to create equal opportunities for every team member, regardless of background.

• The company embraces flexibility, collaboration, and continuous learning—ensuring employees feel supported both professionally and personally.

• Benefits include healthcare coverage, retirement support, paid volunteering days, and wellness resources to promote a healthy work-life balance.

• Sustainability is a key part of LSEG’s vision. The company is actively driving change toward a greener, more equitable future through initiatives focused on net-zero transitions and inclusive economic growth.

• Employees are encouraged to bring their authentic selves to work and are empowered to make meaningful contributions to LSEG’s evolving journey.

• As part of a dynamic global workforce, individuals are exposed to leading technologies, modern tools, and cutting-edge innovations across finance and analytics.

• The organization values transparency and provides platforms for open dialogue, feedback, and leadership engagement to ensure alignment and motivation.

• Ethical standards and integrity guide every business decision, and employees are expected to uphold these values in all interactions.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!