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- Tasks: Support environmental research by analysing data and ensuring cybersecurity for critical information.
- Company: Join a forward-thinking lab focused on climate and environmental challenges.
- Benefits: Flexible work options, competitive salary, and professional development in AI and cybersecurity.
- Other info: Collaborative team environment with opportunities for growth in a dynamic field.
- Why this job: Make a real impact on environmental issues while working with cutting-edge technology.
- Qualifications: Degree in relevant field and experience in data analysis or lab support required.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly motivated and multidisciplinary Environmental Data Analyst with expertise in Data Science, Artificial Intelligence (AI), and Cybersecurity to support our environmental research labs. In this hybrid technical and scientific role, you will work closely with environmental scientists and IT professionals to collect, process, analyze, and protect critical environmental data. You will apply machine learning to uncover trends, support lab experiments with real‐time data systems, and ensure that all digital data infrastructures comply with cybersecurity standards.
Key Responsibilities
- Lab & Environmental Data Support
- Assist researchers in collecting data from environmental monitoring devices (air, water, soil sensors).
- Manage and maintain lab instrumentation and field equipment, including IoT‐based sensor systems.
- Organize and document experiment data using standardized lab protocols.
- Data Science & AI
- Preprocess, clean, and manage large environmental datasets using Python or R.
- Develop and deploy AI/ML models to support analysis such as climate and pollution forecasting, ecosystem pattern recognition, and biodiversity and deforestation monitoring.
- Create interactive dashboards, visualizations, and reports to communicate insights to non‐technical stakeholders.
- Cybersecurity & Data Governance
- Ensure the security and integrity of research data using encryption, access control, and secure storage solutions.
- Implement cybersecurity best practices for lab systems, IoT devices, and cloud‐based data platforms.
- Collaborate with IT/security teams to monitor systems and resolve vulnerabilities.
- Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).
Required Qualifications
- Bachelor's or Master's degree in Environmental Science, Data Science, Computer Science, Cybersecurity, or a related field.
- 2+ years of experience in a technical role involving data analysis or lab support.
- Proficiency in Python and/or R for data analysis and machine learning.
- Understanding of AI/ML frameworks (e.g., TensorFlow, Scikit‐learn, PyTorch).
- Familiarity with cybersecurity principles, tools, and technologies.
- Strong communication skills and ability to work in interdisciplinary teams.
Preferred Qualifications
- Experience with IoT devices and sensor networks (e.g., Raspberry Pi, Arduino, MQTT).
- Familiarity with cloud platforms (AWS, GCP, Azure) and data pipelines.
- Knowledge of GIS or remote sensing tools.
- Certifications in cybersecurity (e.g., CompTIA Security+, CEH, CISSP) or data science (e.g., Google Data Engineer).
What We Offer
- Opportunity to work on real‐world climate and environmental challenges.
- A collaborative, cross‐disciplinary team environment.
- Flexible work options (remote/hybrid).
- Professional development in AI, cybersecurity, and environmental data systems.
- Competitive salary and benefits package.
Environmental Data Analyst – AI & Cybersecurity Lab Support in London employer: shefsolutionsllc
Contact Detail:
shefsolutionsllc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Data Analyst – AI & Cybersecurity Lab Support in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental data field through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or AI/ML models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cybersecurity principles and data governance. We recommend practising common interview questions related to these topics so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Environmental Data Analyst – AI & Cybersecurity Lab Support in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, AI, and cybersecurity. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental data analysis and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for someone who’s proficient in Python or R, so make sure to mention any specific projects where you’ve used these languages. If you’ve worked with AI/ML frameworks, give us the details!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at shefsolutionsllc
✨Know Your Data Science Tools
Make sure you brush up on your Python and R skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to environmental data analysis or machine learning. Having specific examples will show your expertise and confidence.
✨Understand Cybersecurity Basics
Since this role involves cybersecurity, it’s crucial to familiarise yourself with key principles and best practices. Be prepared to talk about how you would ensure data integrity and security in your previous roles, and mention any relevant certifications you hold.
✨Showcase Your Interdisciplinary Experience
This position requires collaboration with both environmental scientists and IT professionals. Think of examples where you've successfully worked in a multidisciplinary team. Highlight your communication skills and how you’ve translated complex data insights for non-technical stakeholders.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the lab's current projects, the tools they use, and their approach to data governance. This shows your genuine interest in the role and helps you assess if it's the right fit for you.