Data Intern

Description:

WhatsInMyWater, a data-focused environmental startup, is offering a Summer Internship position for a Software/Data Intern to contribute to its mission of improving water-quality transparency in the UK. The company specializes in aggregating and analyzing UK water data to create user-personalized water-quality reports powered by scientific insights and AI technologies.

This on-site internship in London is a highly flexible, unpaid opportunity designed to offer aspiring developers and data scientists real-world experience in building full-stack data platforms. You will join a fast-paced team and work on real-time projects involving data scraping, AI-enhanced reporting, backend development, and collaborative scientific research translation.

Key Responsibilities:

• Develop and maintain web-scraping scripts (Python/Go) to extract water-quality data from diverse sources including government websites, PDFs (OCR), and public APIs

• Build a robust, reusable, and scalable scraping pipeline with proper logging, scheduling, and error handling

• Design and optimize large-scale time-series data schemas in Postgres databases

• Support backend infrastructure using Docker, AWS, and CI/CD pipelines

• Work on AI-based improvements to water-quality reports, focusing on prompt engineering and personalisation

• Collaborate with researchers to translate complex biomarker data into user-friendly metrics

• Assist with documentation, user-facing content, and wireframes as part of product development

Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Environmental Science, or a related field

• Proficiency in Python, Go, or TypeScript

• Experience or familiarity with scraping tools (e.g., BeautifulSoup, Scrapy, OCR tools) and APIs

• Interest in database systems, especially Postgres

• Passion for AI, data visualization, or water-quality research

• Strong collaborative and communication skills in a startup setting

What You’ll Gain:

• Practical experience across the full software development lifecycle in a startup environment

• Mentorship from seasoned engineers and scientists

• Exposure to cutting-edge technologies like generative AI, Docker, AWS, and advanced data pipelines

• A portfolio-quality project and letter of recommendation upon successful completion

• A flexible working schedule accommodating 20–30 hours per week