AI-Driven Climate Data & Automation Specialist

MSCI Inc.; Philippines; Hybrid; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Transparent compensation schemes

Flexible working arrangements

Learning@MSCI platform

AI Learning Center

Job summary

MSCI Inc. is seeking a technically strong data professional to act as an AI enabler within the Climate Data and Content team. You will build tools, automate workflows, and leverage Python, generative AI, and modern data practices in day-to-day work.

You will own end-to-end data collection cycles, design QA frameworks, and develop dashboards to support SLA tracking and coverage. A strong foundation in Python and ESG data, with SQL and BI tooling experience, is required.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field.
• Experience in data operations, data engineering, or analytical roles; ESG/Climate exposure is a strong advantage.
• Proficient in Python (minimum 1 year hands-on); able to script, automate, and analyze data pipelines.
• Active user of generative AI and LLM tools with demonstrated workflow integration experience.
• Working knowledge of SQL; experience with Power BI or Tableau desirable.
• Understanding of climate frameworks (TCFD, ISSB, GRI) and carbon reporting standards.
• Strong analytical mindset, attention to detail, and excellent written and verbal communication.
• Ability to manage competing priorities in a global, deadline-driven environment.

Responsibilities

• Act as the team's internal AI champion — identify automation opportunities, prototype solutions, and drive adoption of AI tools across daily workflows.
• Build and maintain Python scripts to automate data collection, transformation, QA, and reporting tasks.
• Integrate LLM-based tools into operational workflows for document extraction, content classification, and anomaly detection.
• Design AI-friendly data collection methodologies that convert unstructured disclosures into structured, machine-readable formats at scale.
• Validate AI-generated outputs, understand model limitations, and maintain human-in-the-loop accountability.
• Own end-to-end data collection cycles — sourcing, processing, and validating climate and ESG data from company disclosures, vendor feeds, and public filings.
• Design and implement multi-layer QA frameworks, rule-based checks, and anomaly detection logic to ensure data accuracy and consistency.
• Develop and maintain operational dashboards, trackers, and reference systems to support SLA tracking and coverage monitoring.
• Identify and resolve data integrity issues, coordinating with vendors, internal analysts, and technology teams as needed.
• Identify opportunities to simplify, standardise, and scale existing workflows through tooling and automation.
• Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity.
• Train and support analysts in adopting new tools, scripts, and AI-assisted workflows.
• Communicate clearly with internal and external stakeholders on data methodology, process changes, and query resolution.

Skills

Python

AI/GenAI

Data pipelines

Analytical mindset

SQL

Data ops

Communication

Prioritization

Education

Bachelors in CS/DS/Stats/Engineering

Tools

SQL

Power BI

Tableau

Job description

MSCI Inc. is seeking a technically strong data professional to act as an AI enabler within the Climate Data and Content team. You will build tools, automate workflows, and leverage Python, generative AI, and modern data practices in day-to-day work.

You will own end-to-end data collection cycles, design QA frameworks, and develop dashboards to support SLA tracking and coverage. A strong foundation in Python and ESG data, with SQL and BI tooling experience, is required.