Data Scientist (Utilities/Energy)

  • negotiable
  • Singapore
  • Permanent, Full time
  • Upper Spring Consulting Pte. Ltd. , EA Licence No: 14C7380
  • 01 Oct 18

Our Client is embarking on a major transformation journey that focused on improving value, deepen market presence, capture product innovation and growth. Data Science and smart Analytics are critical components of the Digital strategy, being used to optimize our Client's entire value chain - from plant design and operations to building a direct to consumer retail business. As a result, our Client is looking to develop a global Data Science team of talented and passionate data specialists, with a range of experience and expertise, to establish and drive strategy in collaboration with our business, functional and market leaders.


• Work closely with a world-class global engineering team, business leaders, and the richest data sets in industry to help solve real life problems
• Develop robust Analytics solutions using state-of-the art algorithms and platforms in Machine Learning and Optimisation, to generate insight and foresight about our business
• Work with Cloud based Big Data platforms and tools to design and deploy applications in collaboration with a global IT team
• Apply best practices to manage solution implementations including code design and reviews
• Experience the excitement of working on a variety of real-world business data challenges, with like-minded data enthusiasts both within the organisation and our external collaboration network, and the opportunity to make a positive impact on business through cutting-edge Analytics apps.
•         Experience in analyzing different data types including but not limited to real-time sensor data, system logs, market data including commodities demand/supply, images and text
•         Strong expertise in advanced statistical methods for data analysis / feature engineering / modeling / forecasting
•         Conduct  testing / validation of Machine Learning models, model tuning and parameter optimisation
•         Experience in implementing scalable solutions using R/Python/Scala/Spark/Hadoop on batch & real-time data and deploying on Cloud platforms using different PAAS services
•         Demonstrable experience in delivering end-to-end data science projects collaborating directly with both technical and business stakeholders


• MS or PhD in Computer Science, Computer Engineering or a related field with solid exposure to Machine Learning and/or Optimisation applications
• At least 5-7 years of experience of developing Machine Learning and Optimisation solutions and software applications in Utilities / Energy / Power Gen or related industries
• Hands-on knowledge of working with scalable platforms for processing large and/or complex multi-source data sets
•         Good hands-on technical knowledge in Machine Learning technologies
• Working experience in implementing ML solutions using one/more techniques from Regression Modeling, Classification, Function Approximation, Optimisation, Deep Learning
•         Ability to clearly communicate business benefits and recommendations based on the results of data analytics projects
• Ability to communicate analytics-based insights to business stakeholder is preferred
• Good experience in coaching and mentoring junior direct reports
• Team player with good interpersonal, communication, and problem solving skills