Data Scientist / Data Analyst / Environmental Scientist

Job Type: Full-time, Fixed-term Contract (Right to work in the UK required).
Contract Duration: 12 months (Opportunity for extension or permanent position).
Location: Hybrid role 3 days a week in the office (Birmingham/Wolverhampton); Fully remote considered for candidates with relevant experience.
Start Date: Expected in Spring 2025, following interview and skills/coding evaluation.

Position Overview:
We are looking to expand our environmental monitoring data collation and insights team and are seeking a dedicated, enthusiastic, and highly analytical scientist to join our environmental quality data and product team. In this role, you’ll work on a variety of exciting and challenging projects, providing ample opportunities to grow your skills. As part of a small, collaborative consultancy, you’ll have the chance to develop your career in a supportive and dynamic environment.

No Visa Sponsorship Available – All applicants must have full and indefinite right to work in the UK.

Key Responsibilities:
• Collect, clean, and preprocess large volumes of structured and unstructured data from diverse sources.
• Design, develop, and maintain efficient and scalable databases to support data analysis and decision-making.
• Design, implement, and optimize data pipelines to ingest, process, analyse, and visualize environmental datasets.
• Leverage statistical analysis, machine learning, and traditional modelling techniques to derive insights from data.
• Contribute to data science-based solutions to environmental problems of varying complexity.
• Build interactive data visualizations and dashboards, primarily using R-Shiny, to communicate key insights and findings to a wide range of stakeholders.
• Optimize data processing and dashboard performance for efficiency and scalability.
• Lead the entire process from concept to the creation of practical, data-driven solutions.
• Continuously explore emerging trends in data science, machine learning, and related technologies to enhance methodologies and improve processes.

Essential knowledge, skills and requirements:
• Ideally, over 1 year of commercial experience (however, exceptional graduates will also be considered).
• A degree in a relevant field with a strong focus on numerical analysis or programming (e.g., Data Science, Computer Science, Meteorology, Environmental Science, Hydrology, Engineering) or equivalent experience.
• Proven experience in a relevant role, applying data science or analytical skills to real-world problems.
• Proficient in programming languages R and Python, with experience of R-Shiny dashboards.
• Hands-on experience in designing, building, and managing databases, specifically with SQLite and PostgreSQL.
• Skilled in web scraping, including the development and maintenance of web scrapers to gather data.
• Practical, pragmatic, results-driven problem-solving approach with the ability to adapt to changing requirements.
• Strong mathematical, statistical, and analytical skills with a keen eye for accuracy and attention to detail.
• Self-motivated with the ability to work independently and manage tasks efficiently.

Desirable knowledge, skills and requirements:
• Experience in processing and managing environmental data, particularly environmental quality and hydrological datasets.
• Knowledge of machine learning techniques and their application in data analysis.
• Experience with version control systems like Git for managing code and collaboration in a team setting.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and model deployment.
• Experience managing subcontractors and collaborating with external partners.
• Familiarity with spatial data analysis and related software (e.g., R libraries such as mapviewer, ArcGIS, QGIS).
• Practical experience in deploying R-Shiny dashboards in a commercial or production environment.
• Experience implementing generative AI techniques for automating report generation and text writing.

Pay: £30,000.00-£60,000.00 per year (depending on experience)

Why Join Us:
• Be part of an ambitious, forward-thinking start-up with a strong commitment to employee and customer satisfaction, as well as a dedication to environmental sustainability and making a positive impact on the planet.
• Shape the future of our growing company and help drive impactful solutions in the environmental and data science space.
• Work on meaningful projects that directly contribute to environmental sustainability and real-world impact.
• Exciting opportunities for professional growth and development, including training, mentorship, and the chance to attend and present at industry conferences to showcase your expertise and expand your network.
• Collaborative and inclusive work culture, where innovation thrives and every team member’s voice is heard.
• Encouragement of Innovation: We value creative problem-solving and encourage our team members to experiment with new ideas, approaches, and technologies to drive innovation.
• Competitive salary and benefits package, including flexible working hours, performance-based incentives, company pension, and generous annual leave allowance that increases with length of service.
• Work-life balance: We prioritize a healthy work-life balance with a 35-hour work week, flexible and remote working options, and a supportive, team-oriented culture.

DON’T MEET EVERY SINGLE REQUIREMENT?
Research suggests that some candidates may be less likely to apply for jobs unless they meet all the listed qualifications and criteria. We welcome applications from all people, promoting a positive and fair work environment. If you’re excited about this role but don’t meet every single requirement, we encourage you to apply anyway – you could be the perfect fit for this role or other opportunities within our team.