LSEG: Data Scientist

Job Description

Join LSEG’s ESG Specialist team in Bangalore as a Data Scientist where you will help drive automation and process simplification using advanced analytics and machine learning. In this role, you'll work in an agile setting to design, develop, and deploy machine learning and deep learning models tailored for ESG operations, ensuring high-quality data and streamlined workflows. Your work will not only refine data accuracy but also empower the business with intelligent processes that enhance efficiency and reliability. JobformoreHuzzle

As part of your daily responsibilities, you'll conduct detailed statistical analyses, manage bulk data extraction and reporting, and apply systematic checks to both textual and Boolean data. Proficiency in SQL, Python, and Microsoft Power Platform will enable you to handle large datasets and create impactful insights. You’ll also employ web scraping and LLM tools such as BERT or GPT to derive meaningful intelligence from diverse data sources. JobformoreHuzzle

Beyond technical prowess, this role allows you to operate at the intersection of ESG content strategy and data science. Collaborating across teams, you’ll ensure data integrity, contribute to quality updates, and leverage automation for scalable solutions. This is a fantastic opportunity for candidates passionate about ESG, AI, and building data-driven systems within a global fintech leader. JobformoreHuzzle

Roles & Responsibilities

1. Develop, train, and deploy machine learning and deep learning models to handle ESG-related data challenges.

2. Perform robust statistical analyses to uncover patterns, insights, and opportunities within large-scale datasets.

3. Implement automated checks on textual and Boolean data to identify missing, incorrect, or inconsistent entries.

4. Extract, compile, and analyze data using Python scripting and SQL queries to support ESG operations.

5. Design and execute web scraping tasks to enrich data inputs from disparate sources.

6. Harness LLM technologies (e.g., BERT, GPT) for advanced natural language processing and text analysis.

7. Utilize Microsoft Power Platform to automate workflows, reports, and dashboards for operational efficiency.

8. Collaborate with ESG content teams to ensure alignment, quality control, and continuous enhancement of database processes.

9. Prepare visualizations and analytical summaries using tools like Matplotlib, Seaborn, or Power BI.

10. Engage with cross-functional stakeholders to gather requirements and translate findings into business-centric solutions. JobformoreHuzzle

Requirements & Eligibility

1. Bachelor's degree in Data Science, Computer Science, Engineering, or a related field; certification in Data Science preferred.

2. Proven skills in machine learning and deep learning techniques for real-world problem solving.

3. Strong coding capabilities in Python and mastery of SQL for data manipulation and querying.

4. Experience with Microsoft Power Platform to design automation and reporting solutions.

5. Familiarity with web scraping tools (e.g., BeautifulSoup, Scrapy) for data collection from web sources.

6. Working knowledge of NLP and LLMs such as BERT, GPT, or similar frameworks.

7. Solid statistical analysis capabilities and deep understanding of data-driven methodologies.

8. Strong problem-solving mindset and the analytical rigor to drive insights from complex data.

9. Effective in data visualization using libraries like Matplotlib, Seaborn, or business intelligence tools such as Power BI.

10. Good grasp of ESG content and domain-specific workflows, along with familiarity with process automation systems like LEAD & DEMING. JobformoreHuzzle

Expected Salary

For a Data Scientist at LSEG in Bangalore, the average annual salary is approximately ₹12.15 LPA, which is notably above the national average for similar roles in India. Indeed Entry-level to mid-level Data Scientists in financial or ESG domains in Bangalore typically earn between ₹7 LPA to ₹10 LPA, though for a highly specialized role like this, a realistic range could be around ₹9 LPA to ₹15 LPA, depending on the candidate’s technical expertise and relevant project experience.

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