Data Scientist Intern

Univers

Bukit Merah, Singapore
$1,800 per month
Training
Full-time

1 month ago

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 DescriptionData Scientist InternOverview:We are looking for Data Scientist interns who will work with the team to develop algorithms 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. They must be comfortable working with a wide range of stakeholders and functional teams. 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.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.

Qualifications & Experience:

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.
Better with experience with SQL/NoSQL databases.

Application InstructionsPlease apply for this position by submitting your resume to .
Kindly note that only shortlisted candidates will be notified.

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