Data Scientist Job in Bengaluru at LSEG

LSEG is hiring for the role of Data Scientist!

Responsibilities of the Candidate:

• Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges.
• Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions
• Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments.
• Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency.
• Artificial Intelligence Ethics – Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage.
• Programming – Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development.
• Data Analysis – Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions.
• Data Wrangling – Cleans, transforms, and prepares raw data from various sources for analysis and modeling.
• Statistics – Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation.
• Algorithms – Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting.
• Communication – Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences.
  Business Understanding – Aligns data science work with product goals, user needs, and business KPIs to maximize impact.
• Automation – Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes.
• Research – Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions.
• Metrics Creation – Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives.