Logo of Huzzle
  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Quick Apply

AI generated summary

  • You must have ML, deep learning, Python, SQL, Power Platform skills, web scraping experience, and knowledge of NLP. Reporting experience, ESG understanding, and a relevant degree or certification are essential.
  • You will develop and deploy machine learning models, conduct statistical analysis, manage data extraction, use SQL for large datasets, implement web scraping, and work with LLMs for NLP tasks.

Requirements

  • Proficiency in ML, deep learning, and statistical analysis techniques.
  • Strong Python & SQL skills for data querying and manipulation.
  • Proficiency in Microsoft Power Platform.
  • Experience with web scraping tools and frameworks.
  • Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc.
  • Strong problem-solving and analytical skills.
  • Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI.
  • Knowledge of LSEG proprietary systems for automations including LEAD & DEMING.
  • Understanding of ESG content and marketplace.
  • Understanding of 6 sigma principles.
  • Data Science Certification or
  • Software Engineer or study in computer science subject area or
  • Any subject area of study along with expertise in programming languages like Python, VBA, SQL etc.

Responsibilities

  • Develop and deploy machine learning and deep learning models to solve complex problems.
  • Conduct statistical analysis to identify trends, patterns, and insights.
  • Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data.
  • Manage data extraction, reporting, data analysis.
  • Use SQL to query and manage large datasets.
  • Implement web scraping techniques to gather relevant data from various sources.
  • Work with large language models (LLMs) for natural language processing tasks.

FAQs

What is the main focus of the Data Scientist role within the ESG Specialist team?

The main focus of the Data Scientist role is to develop and deploy machine learning and deep learning models, conduct statistical analysis, manage data extraction and reporting, and implement automation and process simplifications to enhance the efficiency and quality of updates within ESG Operations.

What programming languages are essential for this role?

Proficiency in Python and SQL is essential for data querying and manipulation in this role.

Are there specific tools or platforms that the Data Scientist is expected to use?

Yes, the Data Scientist is expected to use Microsoft Power Platform, web scraping tools, and Python visualization packages such as Matplotlib and Seaborn, as well as Microsoft Power BI for reporting.

What qualifications are required to apply for this position?

Candidates should have a Data Science Certification, a degree in Software Engineering, Computer Science, or any subject area along with expertise in programming languages like Python, VBA, and SQL.

Is knowledge of ESG content necessary for this job?

While not strictly required, understanding ESG content and the marketplace is desirable for the role.

What type of work environment does the company promote?

The company promotes a dynamic, collaborative, and inclusive work environment that values diversity and allows individuals to bring their true selves to work.

Are there opportunities for professional development within the company?

Yes, the company is committed to the potential and growth of all colleagues, offering tailored benefits and support, which include healthcare, retirement planning, and wellbeing initiatives.

What are the core values that guide the organization?

The core values of the organization are Integrity, Partnership, Excellence, and Change, which underpin its purpose and guide decision-making and everyday actions.

Does the role involve working with large datasets?

Yes, the role involves managing and querying large datasets using SQL and applying data science skills for analysis.

Is there a focus on sustainability within the organization?

Yes, the organization is committed to sustainability and aims to support and drive sustainable economic growth while helping to re-engineer the financial ecosystem.

Finance
Industry
10,001+
Employees

Mission & Purpose

LSEG (London Stock Exchange Group) is a diversified international markets infrastructure business —earning our clients’ trust for over 300 years. That legacy of customer-focused excellence ensures that you can rely on our expertise in capital formation, intellectual property and risk and balance sheet management. As global leaders in financial indexing, benchmarking and analytic services, we offer unrivalled access to international capital markets. Our high-performance technology solutions enable companies worldwide to access funds for growth and development. And with our Data & Analytics, Capital Markets and Post Trade divisions, we provide a comprehensive, integrated suite of trusted financial market infrastructure services that help our customers pursue—and achieve—their ambitions. You can count on our open access model for unparalleled partnership, flexibility, stability, and support across all of our businesses. That’s how we make a difference— ensuring people can meet their potential—worldwide.