Senior Data Scientist (Machine Learning Engineer)
5 days ago
San Francisco, California, United States
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Job Description
Climate X is seeking a Senior Data Scientist/Machine Learning Engineer to enhance their NLP model and collaborate with an interdisciplinary team. The role includes developing machine learning models, performing statistical analysis, and visualizing data to support climate adaptation. Candidates should have experience in data science, ML algorithms, and cloud services. This is a fully remote position focused on contributing to climate resilience through innovative data solutions.
Senior Data Scientist / Machine Learning Engineer
Climate X is hiring a Senior Data Scientist/Machine Learning Engineer to enhance their NLP model and collaborate with an interdisciplinary team. The role involves developing machine learning models, performing statistical analysis, and visualizing data to support climate adaptation efforts. Candidates should have experience in data science, ML algorithms, and cloud services. This fully remote position aims to contribute to climate resilience through innovative data solutions.
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, combining 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 asset valuations, become more resilient to climate change, and make smarter investment and lending decisions.
The impact you’ll own
As a Senior Data Scientist at Climate X, 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 role will support our NLP model, a core product within the business. You will develop an existing code base, spend time exploring new techniques and algorithms, fine‑tune large language models on domain‑specific datasets, perform statistical analysis and model‑evaluation techniques, analyse text data to extract meaningful insights and trends, and create visualisations to communicate findings and facilitate understanding of the model across the business and our clients.
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 scikit‑learn, spaCy, NumPy, SciPy.
• Experience with version control systems such as Git; knowledge of CI/CD pipelines (e.g., GitHub Actions) is a plus.
• Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, Power BI.
• Experience with cloud services (AWS, Google Cloud Platform, Azure) for data storage and processing.
• Ability to work with cross‑functional teams, strong problem‑solving skills and ability to share insights with diverse audiences.
Nice to have
• Experience with web scraping using Python (BeautifulSoup, Scrapy, Selenium, Requests).
• Exposure to MLOps frameworks such as MLflow, Weights & Biases.
• Knowledge of the financial services or real‑estate domain from a climate‑risk perspective.
• Experience processing and analysing geospatial data using Python (geopandas, GDAL) or GIS software such as QGIS.
Benefits
• 🌍 Contribute to a business making purposeful impact related to climate change.
• 💡 Monthly training & conference budget to help you upskill and develop your career (£1,000 per year).
• 📈 6‑monthly appraisals and 12‑monthly pay reviews.
• 💰 Pension contribution scheme.
• 🏡 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 (36.5 days total!).
• 🏏 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.
• 🍼 Enhanced maternity and paternity.
• 🐶 Pawternity.
• 🐕 Dog friendly office (official residence of Alfie, Chief Mischief Officer).
Equal Opportunities
Climate X is an equal‑opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.
Climate X
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Sector: EnvironmentAbout this company
Founders:Kamil Kluza, Lukky Ahmed
Founded date:2020
Revenue:US$ 5 - 10 million
Investors:A100x Ventures, Blue Wire Capital, Deloitte, Pale Blue Dot, Renaud Visage
Stage:Seed
Website:climate-x.com
Climate X provides next-generation climate data and analytics, quantifying how different climate-change pathways could result in physical risks until 2100 (the probability and severity of extreme weather events). They bring...read more
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