Data Science Intern

Singapore, Singapore

Job Description


Empowering enterprises to keep the planet habitable for all!

Reversing the impact of climate change is one of the world\'s biggest challenges. And businesses have a responsibility to lead the way. While individual consumer choices are important, over 80% of all the emissions reductions necessary for the world to reach Net-Zero, require business-level action. But despite the growing momentum and ambition from companies around the world to set Net-Zero goals, there are significant challenges to delivering on these ambitions. Business leaders don\'t really know how they will get there. And the very first step, of getting emissions measurement right, is hard.

Terrascope is an enterprise-grade, end-to-end decarbonisation SaaS platform. By combining AI-assisted carbon measurement & management with deep industry & sustainability expertise, Terrascope helps solve the data management, emissions reduction planning and implementation challenges that large enterprises face to decarbonise their operations and complex supply chains.

Publicly launched in June \'22, Terrascope is working with customers in multiple industry verticals such as agriculture, food & beverage and consumer packaged goods, as well as horizontals such as manufacturing, technology, transportation and real estate. Terrascope is an innovative player to support enterprises in their green transformation.

Backed by Nupo Ventures (formerly Olam Ventures) and incubated with support from BCG X, Terrascope has now achieved a number of globally recognised accreditations, with more on the way - including being the first CDP Gold Accredited Software provider from Asia and signing The Climate Pledge to be net zero by 2040. Terrascope aims to lead by example and demonstrate that business growth and carbon reduction can go hand in hand.

We are looking for a Data Science Intern to support the Data Science team on our product lines. This role reports to our Head of Data Science and is a fantastic opportunity for data science undergraduates to gain exposure to machine learning / artificial intelligence techniques in a commercial setting, across all stages from experimentation to productisation. \

In this role you will:

  • Develop and enhance existing end-to-end solutions to address critical challenges for our product lines
  • Work with cross-functional teams to enhance discoverability of subject-matter knowledge useful for our labelling, training and validation techniques
  • Deliver changes on a codebase with high-quality production-level code that reaches our customers
  • Perform data analysis to find insights that can be used for preprocessing data, and enhancing our machine learning models and overall inference pipelines
  • Gain exposure on carbon emission measurement and reduction, and apply them to improve our range of product lines
You should:
  • Be an undergraduate in Analytics, Data Science, Statistics, Computer Science or other quantitative field or equivalent
  • Have knowledge in statistics machine learning. Exposure to NLP techniques is a plus
  • Experience with code versioning tools like Git; knowledge of MLOps tools and frameworks (Docker, K8s, MLFlow etc.) is a plus
  • Proficiency in Python programming with experience in pandas, sklearn, pytorch / tensorflow etc
  • Possess an excellent sense of ethics and integrity, with the ability to impress on others to \xe2\x80\x9cdo the right thing\xe2\x80\x9d
  • Have the ability to work independently and collaboratively in a fast-paced environment
  • Excellent analytical skills, attention to detail, and commercial awareness
  • Hard-working, proactive, and motivated individual who can manage multiple stakeholders and projects
  • Demonstrates a commitment to embark on a journey to learn more about climate change, sustainability, and ESG
\

We\'re committed to creating an inclusive environment for our strong and diverse team. We value diversity and foster a community where everyone can be his or her authentic self.

Terrascope

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Job Detail

  • Job Id
    JD1389756
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned