Data Scientist (EnOS) Intern - ref. r87684703
Company
Univers Pte. Ltd.
univers.com
Designation
Data Scientist (EnOS) Intern
Date Listed
28 Apr 2025
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jun 2025, For At Least 6 Months
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
HarbourFront Avenue, Keppel Bay Tower, Singapore
Address
1 HarbourFront Ave, Singapore 098632
Map
Allowance / Remuneration
$1,500 - 1,800 monthly
Company Profile
Univers provides the world’s most comprehensive decarbonization system.
We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.
With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.
For more information, please visit https://univers.com/
Job Description
Job Overview
We are looking for Data Scientist interns who will work with DS CoE team to develop algorithm package to deliver data-analytical services and products for our clients on top of EnOS platform. The ideal candidate should be adept of using a variety of ML/AI models, from traditional statistical learning models to deep-learning models, to address various data-driven requirements.They should have the experiences in data exploration, model design, implementation, and tuning and delivery modeling results to stakeholders. Also they should be familiar with latest GenAI techniques and used the variate of Large Language Models including ChatGPT, Gemini, Claude, DeepSeek, etc, know the differences among these models and how to make a suitable choice based on the natural of the task.
It would be a great advantage If they have the experiences of using multi agent workflow and even build the workflow on their own. The preferred multiagent framework are CrewAI, openAI agent, agno, langchain, langgraph, AutoGen, etc. Last but not least, the passion for data science is strongly preferred especially for those who are interested in applying the cutting-edge AI/ML technologies to improve daily productivity.
Major Responsibilities- Work with team and stakeholders to implement data-analytical packages for clients in multiple domains;
- Perform data exploration in depth and design/implement novel algorithms to address data analytical challenges;
- Work closely with other platform teams to deliver integrated products or solutions
- Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, XGBoost/LightGBM, etc.), and basic deep-learning models.
- Experience with development tools like Python, NumPy/Pandas, Scikit-learn and one deep-learning framework (Tensorflow / Keras / PyTorch)
- Experience with data exploration tool and data visualization tool, such as matplotlib, Echarts, etc.
- Experiences of using different LLM models, such as various GPT models, claude models, Gemini, and deepSeek series.
- Preferred to have the experiences of building multi-agent workflow using one of the following frameworks, such as CrewAI, openAI agent, langchain, langraph, AutoGen etc.
- Excellent written and verbal communication skills for coordinating across teams.
Application Instructions
Please apply for this position by submitting your text CV using InternSG.Kindly note that only shortlisted candidates will be notified.
Interested candidates do email your resume to [email protected]
Open to Full-time Internship OnlyPlease also indicate your period of availability
- Your exact period of availability? (Exact Start and End Date)
- Is this internship credit bearing and counting towards graduation requirements?
- Are you a full-time student?
- Do you require a work pass or visa?
Apply for this position