Job Purpose/Summary
To research and develop algorithms and techniques to be used by OceanMind on available data in the maritime environment for the purpose of contributing to and enhancing OceanMind’s ability to detect and monitor human activity and human impacts on the oceans.

Main Responsibilities
· Researching and exploring possible data-driven solutions to enhance our understanding of human activity on the ocean while also delivering real-world data analytical solutions that solve pressing maritime problems

· Combining expertise in maths, computer science and analytics to develop algorithms that analyse and interpret huge amounts of data and make it useable and accessible internally and for our clients

· Understanding the different phases of project delivery and running research and analysis for each milestone in a timely manner that it effectively contributes to decision making
· Collaborating proactively with the immediate and wider team to develop and deliver solutions that meet, or goes beyond, the client or project expectations  

· Build on the patterns and trends identified to understand the real-world implications of findings and insights
· Develop innovative and advanced analytics technologies including AI and machine learning to explain complex maritime scenarios and overcome potential challenges

· Investigate outliers and edge cases where models break down in the face of real world human behaviour, and identify methods to account for these variations in activity

· Analyse algorithmic outputs to identify interesting results that can be used to tell the story around identified activities to bring the data to life for partners

· Engage with continuous improvement initiatives across the data science team

· Builds and maintains strong, trusted relationships with internal and external stakeholders to support collaboration and long‑term success

Key Competencies and Skills
Essential Criteria
· Understanding of time-domain pattern matching techniques with particular emphasis on experience of using multi-terabyte noisy and incomplete data, including experience in the practical application of such techniques.
· Knowledge and application of a wide range of pattern matching techniques, such as DNN, HMM, GMM, SVM.
· Working experience of a range of signal processing techniques.
· Expert level understanding of mathematical probability and statistics
· C/C++ knowledge and significant practical experience
· Endlessly curious about apparently insignificant details, as interested in the outliers as much as the norms
· Good at spotting patterns in the data and discovering something important and relevant
· Ability to quickly identify threads of research which are likely to lead to useful outcomes from those which are leading nowhere
· Able to communicate complex ideas clearly and effectively to technical and non-technical specialists
· A self-starter with experience of project teams and external deadlines
· Maintains own continuous professional development, fascinated by emerging technologies and techniques

Desirable Knowledge & Skills
· Working experience with Tensorflow, Python & Linux (shell scripting)
· Experience with GIS software and/or AIS data
· Comfortable working in a fully remote team and proactively engaging with the immediate and extended team
· Background with a non-profit or in the sustainability sector an advantage

How to Apply:  Using the green apply button below

Please submit your CV and a short cover letter (no longer than 2 pages) answering the following questions:
 

 
OceanMind is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require any additional support or reasonable adjustments either at application or interview stage, please contact us via people@oceanmind.global

Contact Information: For more information about our organisation, or this job role, please visit our website OceanMind or email people@oceanmind.global