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Data Scientist and Machine Learning Expert

2 months ago

London, Greater London, United Kingdom Climate X, Ltd. Full time
Climate X, Ltd. - Data Scientist and Machine Learning Expert

Climate X, Ltd. is a purpose-driven climate adaptation data company that is revolutionizing how the world manages assets, property, and infrastructure. We apply cutting-edge, peer-reviewed science to help prevent the worst impacts of climate change.

Our Mission

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
  • what that damage might do to the asset valuations
  • become more resilient to climate change and make smarter investment and lending decisions
What You'll Do

As a Data Scientist at Climate X, Ltd., you will join an interdisciplinary team of other Data Scientists, Climate Scientists, and Geospatial experts, collaborating closely with our Engineering and Product teams to deliver impactful products to our clients. This will involve developing an existing code base, research time for exploring new techniques and algorithms, fine-tuning LLM models on domain-specific datasets to enhance the performance of our existing model, perform statistical analysis and techniques for model evaluation, analyze text data to extract meaningful insights and trends, and create visualizations to communicate findings and facilitate understanding of the model across the business and our clients.

Requirements
  • Experience in a commercial Data Science role with a strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering), using ML packages in Python (such as scikit-learn, spaCy, NumPy, SciPy, or others)
  • Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau, Power BI)
  • Experience with cloud-based platforms (e.g., AWS, Google Cloud Platform, Azure) for data storage and processing
Nice to Have
  • Experience with web scraping using Python (such as BeautifulSoup, Scrapy, Selenium, Requests, or others)
  • Knowledge of the financial services or real estate domain from a climate risk perspective, to inform a basic understanding of where data science is being applied, allowing for better context and interpretation of results
  • Experience with processing and analyzing geospatial data using Python (geopandas, GDAL, etc.) and/or other GIS software (such as QGIS)
What We Offer
  • Contribute to a business making purposeful impact related to climate change
  • Monthly training and conference budget to help you upskill and develop your career (£1,000 per year)
  • 6-monthly appraisals and 12-monthly pay reviews
  • Flexible hours and hybrid working (3 days/week in office; core hours 10am-4pm)
  • Mental Health and Wellbeing support via Oliva
  • 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday
  • Optional quarterly socials, dinners, and fun nights out
  • A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office
  • Cycle to work scheme via gogeta
Equal Opportunities Employer

Climate X, Ltd. is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.