Senior Data Scientist (Machine Learning Engineer)

at  Climate X

ABOUT US

Climate X is a purpose-driven climate adaptation data company set to revolutionise how the world manages assets, property, and infrastructure.
We apply cutting-edge, peer-reviewed science to help prevent the worst impacts of climate change. We combine climate projections, remote sensing observations, and modelling to project the frequency and severity of physical climate risks such as floods, subsidence, storms, etc.

Our SaaS platform lets financial institutions and real estate firms look at future climate pathways to:

• help identify how property/company assets could be damaged by severe weather events and
• what that damage might do to the asset valuations.
• become more resilient to climate change and make smarter investment and lending decisions.

We advocate diversity with our founders, team, and investors from various backgrounds.
We’re not building just a team but a place of innovation where problem solving, and fun coexist to address the most significant challenge our society is facing now.

ESSENTIAL SKILLS

• Experience in a product focused Data Science role with previous experience building end-to-end machine learning models.
• Strong experience with ML algorithms and techniques (e.g., regression, classification, clustering), using ML packages in Python (such as sklearn, spaCy, NumPy, SciPy or others).
• Experience with version control systems like Git for managing code changes and collaborating with team members. Knowledge of CI/CD pipelines (e.g. GitHub Actions) is a plus.
• Experience with data visualisation tools and libraries (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Experience with cloud services (e.g., AWS, Google Cloud Platform, Azure) for data storage and processing.
• Ability to work with cross-functional teams using strong problem-solving skills and share insights to diverse audiences.

Please refer the Job description for details