Data Scientist Intern (AI & Automation)

Company Description

ESGpedia is Asia's leading in ESG data and technology company, headquartered in Singapore. We offer a comprehensive suite of digital solutions on our one-stop platform to empower corporates, SMEs, and the financial sector to achieve ESG excellence.

The ESGpedia platform powers key initiatives across the Asia Pacific region, including the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform and the Asia-Pacific Single Accesspoint for ESG Data (SAFE) initiative. ESGpedia is GRI-licensed.

At ESGpedia, we believe people are our greatest asset. Unified by a common purpose of accelerating the world's transition towards a net zero economy, our team is built on mutual trust, respect, and support. We believe in hands-on learning and taking ownership of one's work - which means creating a spirited environment for all team members to take on exciting challenges, create meaningful impact for our planet, and grow both personally and professionally.

For more information about ESGpedia, please visit: www.esgpedia.io

Job Summary

We are looking for an Data Scientist Intern (AI & Automation) to support our ESG data and AI initiatives. You will work on real client-facing projects, helping to clean and structure ESG and procurement data, standardise schemas, and support our AI-powered tools.

This role is a good fit if you enjoy hands-on data work (Python + SQL), are curious about GenAI/LLMs, and want to see how ESG and data come together in production systems.

Job Responsibilities

Your Core Responsibilities:

1. Data Cleaning & Preparation

- Ingest, clean, and transform ESG, procurement, and activity data.

- Perform data quality checks.

2. Schema Mapping & Standardisation

- Support schema mapping for incoming client datasets to internal ESG schemas.

- Assist in configuring and improving semi-automated schema mapping tools.

- Document common data patterns and reusable mappings.

3. AI / Scope 3 Project Support

- Build and maintain evaluation datasets for AI models.

- Analyse model outputs versus ground truth and generate basic evaluation reports.

- Run experiments with different prompts or configurations for LLM-based workflows and log results.

4. Pipeline Automation & Documentation

- Convert ad-hoc notebooks into reusable workflows.

- Add basic logging, validation checks, and documentation to improve usability and debugging.

5. Ad-hoc Analysis & Support

- Support the team with ad-hoc data analysis tasks.

What you will gain:

• Hands-on experience with real ESG and procurement datasets.
• Exposure to a modern data stack (Databricks, cloud data, ML/LLM workflows).
• Practical understanding of how AI and automation are applied to ESG reporting and Scope 3 emissions.
• Experience working in a small, fast-moving team where your work directly supports product and client delivery.
• Mentorship in data best practices, pipeline design, and AI-assisted workflows.

Requirements

• Currently pursuing or recently completed a degree in Information Systems, Computer Science, Data Science, or a related field, ideally with coursework in Machine Learning or Artificial Intelligence.
• Basic programming skills in at least one language Python is preferred.
• Basic working knowledge of SQL for querying and transforming data.
• Exposure to LLMs / Generative AI (e.g. used an API or built a simple project using prompts) is a plus.
• Strong written and verbal communication skills.
• Detail oriented and data driven, strong in problem solving skills.
• Proficient with the use of MS Excel, Powerpoint, Word.

What you will need to thrive:

• Strong team player who values collaboration.
• Curious by nature, always keen to learn new tools, concepts and domains.
• Genuine interest in working with code and AI.
• Self-driven and able to take ownership.
• Adaptable and comfortable working in a fast-changing environment.
• Sensitive to user needs, able to understand real-world workflows and shape solutions that are genuinely useful.
• Self-starter who thrives on complexity and independence.

Why Join Us

Be a Force for Good: Your work here doesn't just tick boxes-it drives meaningful, measurable change for businesses, industries, and communities striving to build a more sustainable future.

Freedom to Own It: We hire capable, driven people and trust them. You'll have the autonomy to take charge of your work, supported by a culture that values results over red tape.

Think Big, Act Together: Collaboration fuels us. You'll work with sharp, mission-driven teammates across disciplines-no silos, just shared goals and smart execution.

Grow Fast, Learn Always: We move quickly and expect a lot, but we invest even more in your growth. If you're hungry to learn and ready to stretch, you'll thrive here.

Work-Life, Reimagined: Whether you're remote, hybrid, or somewhere in between, flexibility is real. We care about outcomes, not hours-and we build trust through accountability.

Resilience Pays Off:If you're wired for growth, this is where the grind turns into pride.

What We Look For

Self-Starters: You don't wait for instructions-you spot what needs doing and take initiative.

Curious Builders: You ask the right questions, dig deep, and thrive in ambiguity. You turn complex problems into elegant, real-world solutions.

Communicators Who Connect: Whether you're writing a report or leading a meeting, you convey ideas with clarity, empathy, and purpose.

Accountable High Performers: You take ownership, deliver under pressure, and hold yourself to a high standard-even when no one's watching.

Passion for Impact: You're not just looking for a job-you want to do work that matters. Whether it's advancing sustainability, transforming client outcomes, or innovating with tech, you're fueled by purpose and driven to make a difference!

ESGpedia is proud to be an equal opportunity workplace. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Notice

Only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.By submitting any application or resume, you are deemed to have read and agreed to the terms of our Privacy Policy (https://esgpedia.io/privacy-policy/) and consent to the collection, use, retention, and disclosure of your personal information for recruitment purposes.

For more information, please visit our website:

https://esgpedia.io/