AI-Driven Climate Data Specialist

Msci-; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Transparent compensation schemes

Flexible working arrangements

Global network of talented colleagues

Learning opportunities (Learning@MSCI,

Eight Employee Resource Groups

Job summary

MSCI seeks 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 operations practices in day-to-day work.

The role focuses on AI-enabled data collection, QA, and collaboration with stakeholders to improve data coverage and accuracy across climate/ESG datasets.

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 experience embedding them into workflows.
• Working knowledge of SQL; experience with Power BI or Tableau desirable.

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 (e.g., Claude, Copilot, ChatGPT) 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
• 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 analysis

Automation

Scripting

Communication

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field

Tools

Power BI

Tableau

SQL

Job description

MSCI seeks 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 operations practices in day-to-day work.

The role focuses on AI-enabled data collection, QA, and collaboration with stakeholders to improve data coverage and accuracy across climate/ESG datasets.