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



Position:

  • Junior Data Scientist

Company:

  • London Stock Exchange Group (LSEG)

Location:

  • Bangalore, India (TowerE, RMZ Infin)

Job Type:

  • Full-time

Job Mode:

  • Hybrid

Job Requisition ID:

  • R0102107

Years of Experience:

  • Not specified; looks like a fresher entry level role as per JD; 0-3 years

Company Description

  • LSEG (London Stock Exchange Group) is a premier global financial markets infrastructure provider, delivering essential data, technology, and analytics solutions.

  • The organization plays a crucial role in financial stability, offering services that drive economic growth and empower businesses worldwide.

  • With a workforce of over 25,000 employees spread across 65 countries, LSEG values innovation, collaboration, and sustainability.

  • The company focuses on re-engineering financial ecosystems to promote green economy growth, support sustainable development, and enhance inclusive economic opportunities.

  • At LSEG, diversity and inclusion are integral to the corporate culture, ensuring a collaborative and respectful work environment.

  • Employees benefit from comprehensive perks, including healthcare plans, retirement options, paid volunteering leaves, and wellness programs.

  • LSEG adheres to principles of integrity, excellence, change, and partnership, making it a trusted name in the financial industry.

  • The organization emphasizes technological advancements and operational efficiency, fostering a culture of continuous learning and professional development.

Profile Overview

  • The Junior Data Scientist role is a part of the Service and Quality team within the Fundamentals & Private Companies Content division.

  • The role focuses on leveraging analytics, data science, and deep learning models to enhance the efficiency and accuracy of data processing.

  • The candidate will contribute to building advanced analytical solutions, including automation, dashboarding, and predictive models.

  • The role requires staying updated with emerging trends, best practices, and technological advancements in data analytics.

  • Responsibilities include designing and improving quantitative models, methodologies, and analytical frameworks to optimize data processing workflows.

  • The candidate will work cross-functionally with different departments to implement and expand data-driven solutions.

  • Emphasis is placed on maintaining high data quality standards while implementing innovative automation techniques.

  • The Junior Data Scientist will also play a role in exploratory research, statistical modeling, and advanced algorithm development.

Key Responsibilities

Data Processing & Management

  • Handling and processing large datasets with efficiency.

  • Implementing automated data ingestion and transformation pipelines.

  • Managing entity data within databases for structured analysis.

Model Development & Deployment

  • Designing and implementing machine learning and deep learning models.

  • Enhancing existing models through continuous iteration and performance optimization.

  • Developing solutions for entity content analysis using statistical techniques.

Advanced Analytics & Visualization

  • Utilizing web scraping techniques to collect and analyze relevant data.

  • Building visual dashboards for data-driven insights.

  • Collaborating with content and product teams to present analytical findings.

Automation & Optimization

  • Creating automated processes to reduce manual data handling efforts.

  • Implementing Lean and Six Sigma methodologies for process improvements.

  • Working on pipeline development to streamline analytics operations.

Cross-functional Collaboration

  • Coordinating with software development teams for model deployment.

  • Assisting business units in deriving insights from large-scale analytics problems.

  • Engaging in discussions with stakeholders to enhance product capabilities.

Knowledge & Skills Required

Technical Proficiency

  • Strong foundation in machine learning, deep learning, and statistical analysis.

  • Experience with Python, Power Apps, SQL, and relevant analytics tools.

  • Proficiency in scikit-learn, NumPy, pandas, and Jupyter Notebook.

  • Solid understanding of relational databases and SQL queries.

Statistical & Analytical Capabilities

  • In-depth knowledge of statistical analysis, hypothesis testing, and predictive modeling.

  • Familiarity with R programming for advanced statistical computations.

  • Ability to derive insights from complex datasets and present them effectively.

Data Engineering & Processing

  • Expertise in handling structured and unstructured datasets.

  • Experience in implementing ETL (Extract, Transform, Load) pipelines.

  • Familiarity with database architecture and cloud-based data solutions.

Communication & Storytelling

  • Strong ability to present complex data in an understandable manner.

  • Experience in creating data-driven reports for technical and non-technical audiences.

  • Excellent written and verbal communication skills.

Process Optimization & Project Management

  • Knowledge of Lean and Six Sigma methodologies.

  • Experience in process automation and workflow optimization.

  • Ability to manage and execute projects efficiently.

Qualifications

Educational Background

  • A degree in Statistics, Mathematics, or Engineering in Computer Science.

  • Certifications in Data Science, Machine Learning, or related fields.

Programming Expertise

  • Proficiency in Python, SQL, VBA, and related programming languages.

  • Familiarity with scripting for automation and data handling.

Additional Certifications (Preferred)

  • Certified (or attempting) Lean/Six Sigma Green/Black Belt.

  • Project Management certifications are an added advantage.

Desired Skills

  • Experience with LSEG proprietary systems such as LEAD and DEMING.

  • Understanding of ownership and profile content in financial markets.

  • Knowledge of Six Sigma principles and applications.

Additional Information

Work Culture & Diversity

  • LSEG fosters an inclusive work environment where employees can thrive.

  • The company actively supports professional development and encourages innovative thinking.

  • Employee diversity is celebrated, and individuals from different backgrounds are encouraged to contribute their unique perspectives.

Employee Benefits & Perks

  • Comprehensive healthcare plans covering medical and wellness needs.

  • Retirement benefits and financial planning support for employees.

  • Paid volunteering days to encourage community service involvement.

  • Well-being initiatives promoting work-life balance.

Career Growth & Opportunities

  • LSEG supports continuous learning through training programs and certifications.

  • Employees can engage in cross-functional projects to expand their expertise.

  • Internal mobility is encouraged, allowing employees to explore different roles within the organization.

Equal Opportunity Employment

  • LSEG is committed to maintaining a discrimination-free workplace.

  • The company ensures fair treatment regardless of race, gender, religion, or any other protected category.

  • Reasonable accommodations are provided for individuals with disabilities and those requiring special assistance.

Company’s Global Presence

  • LSEG operates across 70 countries with major hubs in financial centers worldwide.

  • Employees get opportunities to collaborate with global teams and work on international projects.


Please click here to apply.


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