Provider of marine engineering services and shipowning since 1847, tackling complex problems in harsh environments.
Lead end-to-end data science projects and deploy ML models for energy operations.
20 days ago ago
Expert & Leadership (13+ years)
Full Time
Westhill, Scotland, United Kingdom
Hybrid
Company Size
1,899 Employees
Service Specialisms
Marine engineering services
Decommissioning
Digital twin / Asset information services
Diving and ROV services
Ship-to-ship transfers
Port agency
Subsea inspection, repair and maintenance
Renewable energy services
Sector Specialisms
Energy
Marine
Defence
Oil and Gas
Renewable Energy
Shipping
Nuclear
Ports and Terminals
Role
Description
ml modeling
model deployment
data quality
mlops
stakeholder management
team mentoring
Communicate insights and technical concepts clearly to technical and non-technical audiences, influencing enterprise data strategy and AI adoption roadmaps.
Collaborate with senior stakeholders across product, engineering, and business functions, aligning initiatives with strategic objectives and regulatory requirements.
Design, build, and deploy advanced ML/AI models (e.g., supervised/unsupervised learning, deep learning, time-series analysis) into scalable production environments.
Establish robust data quality frameworks for high-volume sensor and operational datasets, ensuring reliability and integrity.
Translate complex business challenges into data-driven solutions that deliver efficiency gains, risk reduction, and customer value.
Lead end-to-end data science projects, from requirements gathering to production deployment, ensuring best practices and alignment with the Head of Digital.
Drive innovation through R&D, prototyping, and validation of new data science approaches to create competitive advantage.
Mentor and develop data science talent, fostering a high-performance, collaborative culture and championing best practices in MLOps and reproducible research.
Requirements
kafka
spark
python
mlops
ci/cd
leadership
Strong knowledge of distributed computing and real-time data streaming technologies (Kafka, Spark, Ray).
Proficient in MLOps practices, including CI/CD, model monitoring, versioning, and reproducibility.
Deep knowledge of machine learning and AI techniques, including supervised/unsupervised learning, deep learning, time-series modelling, and LLMs (fine-tuning and RAG).
Strong expertise in Python and core data science libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow).
Experience with time-series and sensor data, optimizing model precision, recall, and efficiency.
Strong statistical modelling, problem-solving, and leadership experience in mentoring and developing data science teams.
Experience implementing data quality and governance frameworks for large-scale, real-world datasets.
Excellent communication and stakeholder management skills, with ability to translate technical concepts into business outcomes.
Benefits
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
£437m Revenue
Annual Revenue
The company generates over £437 million annually, showcasing its significant presence in the global market.
Founded 1847
Founding Year
Established in 1847, the company has a rich history and has evolved into a leading maritime engineering firm.
Evolved into a global marine engineering powerhouse.
A global marine engineering powerhouse.
Fleet underpins ocean-going and coastal transport alongside specialized technical services across energy, defence, and renewables.
Pioneered heavy-lift sea transport and nuclear-fuel carriage in the 1960s, and later developed deep-sea rescue submarines.
Typical projects include offshore oil decommissioning, diving, and ROV operations, and submarine rescue missions.
With subsidiaries like Fendercare, Divex, and JFD, serves sectors from energy and marine to defense, nuclear, ports, and infrastructure.
In 2005, helped rescue seven Russian sailors using its Scorpio 45 submersible—an unusual highlight in its history.
Culture + Values
Committed to safety and environmental protection.
Striving for excellence in every business aspect.
Operating with integrity at the core.
Collaborating with respect, trust, and shared values.
Delivering value for customers and stakeholders.
Innovation is essential for market leadership.
Environment + Sustainability
2050 Target
Net Zero Goal
Achieving net zero carbon emissions by a set未来年份.
Aims to reduce carbon footprint through low-carbon technologies and energy-efficient processes.
Focus on reducing energy consumption, waste, and emissions within operations.
Promotes sustainable practices across all business units.
Progress towards environmental goals is regularly reported and tracked.
Inclusion & Diversity
The company has a commitment to increasing gender diversity within the company.
They aim for a balanced workforce with equal opportunities for all genders.
The company has initiatives in place to promote diversity in leadership roles.
Ongoing efforts to track and report gender-related statistics, aiming for gender parity in all levels of the organization.