'predictive Asset Management Intern

2 days ago

Singapore Sembcorp Industries Full time

Singapore, Central, Singapore
- Department- Data Science & Analytics- Job posted on- Oct 30, 2024- Employment type- AttachmentSembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

- **Institution-first Mindset** - Put the interest of the Group ahead of individual interests.
- **Collaboration** - Deliver through collaborating across markets, businesses and functions.
- **Accountability** - Hold team and self accountable to deliver on our commitments.

**Key Roles and Responsibilities**

Project: Predictive Asset performance model enhancements for Renewable Wind assets; deep integration in cloud ecosystem and scale-out to new markets.

The objective of the internship is to build and enhance predictive capabilitities capabilities using Deep Learning models for Predictive Asset Management (PAM) of Wind renewable assets on Azure cloud platform.

The solution will be deployed and scaled out implementing best cloud practices to new markets with full-fledged dashboarding and notification capabilities.

This is an excellent opportunity for the intern to learn about end-to-end data science solution development, deployment in Azure cloud and dashboard development.

The intern will also gain first-hand domain knowledge in IoT data pipelining and predictive maintenance for renewable wind assets.

**Learning Objectives**
- To learn and familiar with standard test methods used in water related samples
- To learn and familiar with instrument standardization and reagent preparation
- To maintain good housekeeping and familiar the lab safety and HSSE requirements.

**Qualification, Skills and Experience**
- Background in Data Science, Computing or equivalent
- Strong Python and SQL skills.
- Familiarity with Grafana platform preferred.
- Good understanding of Data science, Machine learning and deep learning techniques required.
- Some experience with Azure cloud would be an advantage.

Working Location: 30 Hill Street Singapore 179360

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