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Senior Data Scientist
Ocean Mind
Data Science
Remote
Posted on Mar 26, 2026
Vacancy at OceanMind
Senior Data Scientist
Salary £ Competitive
Fully Remote
Vacancy listed 26/03/2026
Application deadline 19/04/2026
Details
Job Purpose/Summary
To lead research and algorithmic development that enhances our maritime intelligence programs using rich global datasets to uncover patterns, detect risks and support evidence based decision on the oceans.
Main Responsibilities
· Conduct deep research and exploratory analysis into data-driven solutions to enhance our understanding of human activity on the ocean, while also delivering possible real-world answers to current and anticipated maritime challenges
· Combining expertise in maths, computer science and analytics to develop algorithms that analyse and interpret huge amounts of potentially messy data to make it practical and user-friendly, internally and for our clients.
· Translate complex analytical findings into accessible insights for nontechnical audiences, regularly presenting to clients, funders, and global partners to support fundraising and conservation impact
· Partner with project teams to ensure the different phases of project delivery are delivered at pace and completed flawlessly, running research and analysis for each milestone to contribute insight to decision making
· Collaborating proactively with the immediate and wider team to drive and deliver solutions that meet, or goes beyond, the client or project expectations. Mentor less experienced data scientists, promoting best practices and methodological rigor.
· Expand and continuously improve on the patterns and trends previously identified to further improve and extend our impact
· Design and innovate advanced analytics technologies including AI and machine learning to explain complex maritime scenarios and anticipate potential challenges
· Identify and investigate outliers and edge cases where models break down in the face of real world human behaviour, and design new 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
· Build and maintain strong, trusted relationships with internal and external stakeholders to support collaboration and long term success
The above information has been designed to indicate the general nature and level of work performed within the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities assigned to this role.
To lead research and algorithmic development that enhances our maritime intelligence programs using rich global datasets to uncover patterns, detect risks and support evidence based decision on the oceans.
Main Responsibilities
· Conduct deep research and exploratory analysis into data-driven solutions to enhance our understanding of human activity on the ocean, while also delivering possible real-world answers to current and anticipated maritime challenges
· Combining expertise in maths, computer science and analytics to develop algorithms that analyse and interpret huge amounts of potentially messy data to make it practical and user-friendly, internally and for our clients.
· Translate complex analytical findings into accessible insights for nontechnical audiences, regularly presenting to clients, funders, and global partners to support fundraising and conservation impact
· Partner with project teams to ensure the different phases of project delivery are delivered at pace and completed flawlessly, running research and analysis for each milestone to contribute insight to decision making
· Collaborating proactively with the immediate and wider team to drive and deliver solutions that meet, or goes beyond, the client or project expectations. Mentor less experienced data scientists, promoting best practices and methodological rigor.
· Expand and continuously improve on the patterns and trends previously identified to further improve and extend our impact
· Design and innovate advanced analytics technologies including AI and machine learning to explain complex maritime scenarios and anticipate potential challenges
· Identify and investigate outliers and edge cases where models break down in the face of real world human behaviour, and design new 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
· Build and maintain strong, trusted relationships with internal and external stakeholders to support collaboration and long term success
The above information has been designed to indicate the general nature and level of work performed within the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities assigned to this role.
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
· Extensive experience in data science/ML role with commercial/consultancy experience, able to deliver high quality analysis to deadlines
· Experience of working autonomously, self-managing and delivery
· 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 of Linux systems, using command line functionality (e.g. shell scripting)
· Python
· 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 insurance/risk sector an advantage
Benefits
• 28 days holiday plus public holidays (pro-rata if part time)
• 2 days paid leave for voluntary projects
• Flexible working options (around core hours)
• A working culture which encourages inclusion and diversity
• Following a three-month period of employment, OceanMind will contribute a sum equal to 6% of your salary to a pension if you contribute at least 3% of your salary to the pension scheme
• Private Healthcare
• Life Insurance
• Access to learning and development including opportunities to feed your curiosity to increase your understanding and professional development
Notes
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:
Why does Oceanmind and this role appeal to you?
Why do you think you’re a good fit for this role?
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 role, please visit our website OceanMind or email people@oceanmind.global