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- Tasks: Join us to build data pipelines and enhance AI-driven reports for water quality.
- Company: WhatInMyWater transforms UK water data into accessible, personalised quality reports.
- Benefits: Enjoy flexible hours, mentorship, and a portfolio-worthy project in a remote setting.
- Why this job: Make a real impact on water transparency while gaining hands-on experience in a dynamic startup.
- Qualifications: Pursuing a degree in Computer Science, Data Science, or related fields; programming experience required.
- Other info: This is an unpaid internship focused on professional growth and valuable experience.
Summer Internship at WhatInMyWater Company Description. WhatInMyWater aggregates UK water data into a powerful, enterprise-grade dataset and user-friendly service. Our platform empowers individuals with personalised water-quality reports based on their postcode, backed by collaborations with leading water-health scientists to ensure cutting-edge biomarker standards. Through data engineering, research, and AI-driven insights, we’re making clean water information transparent and accessible to all.
Role Overview: Join us as a Summer Intern in our remote office to help shape the future of water-quality transparency. This unpaid, hands-on role offers flexible hours (approximately 20–30 hours per week) to accommodate your schedule. You’ll work on real-world projects, from building data pipelines to enhancing AI-driven reports, gaining end-to-end product development experience in a dynamic startup environment.
What You’ll Do:
- Data Ingestion & Scraping: Develop and maintain Python/Go scripts to scrape water-quality data from government sites, PDFs (via OCR), and public APIs. Build a robust, reusable scraping pipeline with error handling, logging, and scheduling.
- Backend & Database Work: Design and optimise Postgres database schemas for large-scale time-series water data. Support deployment and hosting using Docker, AWS, and CI/CD pipelines.
- AI & Reporting: Experiment with generative-AI models and prompt engineering to improve the clarity and personalisation of water-quality reports. Collaborate with science partners to translate biomarker thresholds into accessible, user-friendly metrics.
- Research & Product Support: Create user-facing content, assist with documentation, or contribute to UX wireframes.
Who You Are:
- Pursuing (or recently completed) a Bachelor’s or Master’s in Computer Science, Data Science, Environmental Science, or a related field, or have programming experience.
- Comfortable writing clean, documented code in Python, Go, or TypeScript.
- Familiar with web-scraping tools (e.g., BeautifulSoup, Scrapy, OCR libraries, REST/SOAP APIs).
- Eager to learn Postgres database design and querying.
- Curious about generative AI, prompt engineering, or data visualisation.
- A collaborative communicator who thrives in fast-paced teams.
What You’ll Gain:
- Hands-on experience building a full-stack data product from the ground up.
- Mentorship from experienced engineers and water-health researchers.
- Proficiency with modern tools: TypeScript (frontend), Go/Python (backend), Postgres, Docker, AWS.
- A portfolio-worthy project and a letter of recommendation upon successful completion.
- Flexible hours to balance your internship with other commitments.
How to Apply: Send your CV and a brief cover note (max 300 words) to recruitment@whatsinmywater.me with the subject line: “Summer Internship Application – [Your Name]”. In your cover note, tell us briefly about your experience, and which project area (e.g., data scraping, AI reporting, etc) excites you most and why. Include any links to projects! :) Applications are reviewed on a rolling basis—apply now to join our mission for cleaner, transparent water!
Note: This is an unpaid internship designed to provide valuable experience and professional growth for early-career individuals.
Software/Data Intern employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software/Data Intern
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Go, and Postgres. Having hands-on experience or personal projects that showcase your skills in these areas can significantly boost your chances of standing out.
✨Tip Number 2
Engage with the water quality and environmental science community online. Follow relevant organisations and professionals on social media, participate in discussions, and share your insights. This not only shows your passion but also helps you network with potential future colleagues.
✨Tip Number 3
Prepare to discuss your interest in generative AI and prompt engineering during any interviews. Research recent advancements in these fields and think about how they could apply to the role. Showing that you’re proactive in learning about industry trends can impress your interviewers.
✨Tip Number 4
When applying, make sure to highlight any collaborative projects you've worked on, especially those that involved data scraping or backend development. Emphasising your teamwork skills will resonate well with the company culture and their focus on collaboration.
We think you need these skills to ace Software/Data Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the internship role. Focus on your programming experience, familiarity with web-scraping tools, and any projects related to data science or environmental science.
Craft a Compelling Cover Note: In your cover note, keep it concise (max 300 words) and engaging. Clearly express your enthusiasm for the role and mention which project area excites you the most. Use specific examples from your experience to demonstrate your interest and suitability.
Showcase Relevant Projects: If you have worked on any relevant projects, include links to them in your application. This could be GitHub repositories, personal websites, or any other platforms where your work is showcased. Highlighting practical experience can set you apart.
Follow Application Instructions: Ensure you send your application to the correct email address with the specified subject line: 'Summer Internship Application – [Your Name]'. Following instructions shows attention to detail and professionalism, which are key traits for this role.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Go, or TypeScript. Highlight any projects where you've used web-scraping tools like BeautifulSoup or Scrapy, and be ready to explain how you approached those tasks.
✨Demonstrate Your Passion for Water Quality
Express your enthusiasm for the mission of WhatInMyWater. Share why clean water information is important to you and how you see yourself contributing to their goals, especially in areas like data scraping or AI reporting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future directions. Inquire about the technologies they use, the challenges they face in data ingestion, or how they collaborate with science partners.
✨Emphasise Your Collaborative Spirit
Since this role involves working in a fast-paced team, highlight your ability to communicate and collaborate effectively. Share examples of past teamwork experiences and how you contributed to achieving common goals.
