Our client is a leading provider of advanced environmental data and consultancy services. They specialize in cutting-edge digital surveys, ecological analysis, and research, utilizing technologies like machine learning and AI. Operating internationally, they collaborate with global partners to support the renewables sector and environmental conservation efforts.
The Opportunity:
The client is seeking a Data Scientist to join their Science and Consultancy team. This role offers significant opportunities to lead impactful projects, primarily within the offshore renewables sector. The position can be based at their main office or secondary location, with hybrid working options available.
Key Responsibilities:
* Serve as Technical Lead on projects, ensuring deliverables meet deadlines and quality standards.
* Conduct data analysis in R, update existing code, and develop new workflows.
* Automate processes and advance object detection using Python-based techniques.
* Prepare technical reports, maps, and presentations for diverse audiences.
* Contribute to research and development, enhancing data analysis techniques.
* Collaborate with internal teams and external partners to ensure innovation and consistency.
Qualifications:
* Master’s degree or equivalent in a relevant field (e.g., quantitative ecology, data science) or significant demonstrable experience.
Skills & Knowledge:
* Advanced proficiency in R and Python programming.
* Strong analytical and statistical modeling skills.
* Excellent communication and teamwork abilities.
Experience:
* Expertise in coding and statistical analysis.
* Experience with ecological datasets and visualization techniques.
* Competence in handling large datasets and delivering robust processes.
Benefits:
* Competitive salary, dependent on experience.
* Profit-sharing scheme.
* 33 days annual leave (including public holidays).
* Private medical and dental care.
* Pension contributions, salary sacrifice schemes, and additional perks.
This role does not offer sponsorship, so please only apply if you won't require this in the future.