Director, Data Scientist

2 - 7 years

8 - 12 Lacs

Posted:2 months ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities: Perform ESG data analysis and clearly communicate it to internal stakeholders, both verbally and in writing, by generating graphical data representations. Calculate and distribute the proprietary ESG Scores in a professional and timely manner. Maintain existing machine learning powered algorithms and develop new ones, using the vast and diverse Social, Governance and Environmental datasets available in the organization. Develop innovative ESG Scoring methodologies in Microsoft Excel or Python Work collaboratively with a diverse team across multiple locations to promote modelling best-practice and ensure quality of deliverables. Essential Requirements: Strong technical expertise in Microsoft Excel (and preferably VBA). Good programming skills in Python and experience in the use of AI for programming Minimum of two years professional experience working with large, complex datasets to support business and investment decision-making, incl. demonstrated ability in data quality control, source documentation, and synthesis of complex technical data to develop meaningful insights for clients. Minimum of Bachelors degree or equivalent in science, economics, engineering, mathematics, or similar quantitative discipline. Minimum of A-level or equivalent in mathematics. Excellent verbal and written communication skills, incl. confidently presenting complex information to clients & other key stakeholders in ways that they can easily understand and inform their actions. Self-motivated, organized, detail-oriented, with a positive, can do attitude. The candidate should be conscious of detail and numerically proficient, with natural curiosity and an innovative approach to problem solving. Personable, with a demonstrated strength in planning and executing work assignments to tight deadlines, independently and as part of a diverse international team. Fluent written and spoken English (additional languages will be looked upon favorably). Good awareness of S&P Globals traditional business, and a view on how to integrate ESG into future product development.

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S&P Global Market Intelligence

Financial Services

New York

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