Climate Data Transformation and AI Specialist

MSCI Inc. is seeking a Climate Data Transformation and AI Specialist in Maharashtra, India. The role focuses on automating data processes using AI, Python, and modern data practices to enhance climate data research for global companies. Responsibilities include AI enablement, data operations, quality assurance, process improvement, and stakeholder collaboration. Candidates should have 4–7 years of relevant experience and a strong technical background in data science or related fields.
Your Team Responsibilities The Climate Data and Content team is responsible for research and assessment of carbon footprint and climate-related business initiatives for approximately 14,000 companies globally. We are evolving our operating model — shifting from manual, document-heavy workflows to intelligent, scalable, and auditable data processes powered by AI and automation. This role sits at the heart of that transformation.


We are looking for a technically strong data professional who can serve as an AI enabler within the team — someone who builds tools, automates workflows, and leverages Python, generative AI, and modern data operations practices in day-to-day work.


Your Key Responsibilities
AI Enablement & Automation

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 repetitive 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

Data Operations & Quality Assurance

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

Process Improvement & Documentation

Identify opportunities to simplify, standardise, and scale existing workflows through tooling and automation
Develop SOPs, process documentation, and knowledge-base articles to ensure audit-readiness and scalable knowledge transfer
Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity

Stakeholder Collaboration

Partner with Research, Product, and Technology teams to align on data requirements and translate business needs into technical solutions
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
Your Skills And Experience That Will Help You Excel
Education
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field. Degrees in Finance, Environmental Science, or Sustainability considered with strong technical experience.
Experience
4–7 years in data operations, data engineering, or analytical roles; ESG/Climate exposure is a strong advantage


Programming
Proficient in Python (minimum 2 years hands-on); able to independently script, automate, and analyse data pipelines


AI & GenAI
Active user of generative AI and LLM tools with demonstrated experience embedding them into operational workflows


Data & BI Tools
Working knowledge of SQL; experience with Power BI or Tableau desirable


Climate / ESG
Understanding of climate frameworks (TCFD, ISSB, GRI) and carbon reporting standards is advantageous but not requiredEducation Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field. Degrees in Finance, Environmental Science, or Sustainability considered with strong technical experience.


Experience 4–7 years in data operations, data engineering, or analytical roles; ESG/Climate exposure is a strong advantage


Programming Proficient in Python (minimum 2 years hands-on); able to independently script, automate, and analyse data pipelines


AI & GenAI Active user of generative AI and LLM tools with demonstrated experience embedding them into operational workflows


Data & BI Tools Working knowledge of SQL; experience with Power BI or Tableau desirable


Climate / ESG Understanding of climate frameworks (TCFD, ISSB, GRI) and carbon reporting standards is advantageous but not required


Soft Skills Strong analytical mindset, attention to detail, excellent written and verbal