Senior Data Scientist AI Practice Team

We are seeking an exceptional Senior Data Scientist to join us full-time in our Artificial Intelligence (AI) Practice Team this role you will lead the design and delivery of analytics and machine learning solutions across policy data and document-centric AI engagements working with complex real-world datasets from industrial and asset-intensive domains. You will partner closely with consultants domain experts and junior data scientists to turn client data into robust models reusable assets and decision-ready insights. Based in Warrington or London England with some remote flexibility you will help shape our technical approaches uplift data science practices and ensure solutions are production-aware and business-relevant.

What You Will Do:

• Lead the preparation exploration and analysis of client data (tabular time-series and document-based) to enable robust modeling feature engineering and insight generation.
• Design implement and validate machine learning models and analytics pipelines including problem framing model selection evaluation and iteration for real-world performance.
• Drive advanced use of NLP and document understanding techniques to extract transform and enrich information from reports PDFs logs and other unstructured sources.
• Build and maintain clear impactful dashboards reports and visualizations (e.g. in Python Power BI or similar tools) to communicate findings to consultants and client stakeholders.
• Collaborate with consultants and domain experts to translate business problems into analytical solutions articulate trade-offs and present recommendations to technical and non-technical audiences.
• Ensure technical quality reproducibility and governance by establishing good practices for code documentation data management and model tracking across projects.
• Mentor and support junior data scientists providing guidance on methods tooling and best practices and reviewing their work for quality and consistency.

What You Will Need:

Education and Experience

• Bachelors degree in a STEM discipline (e.g. Data Science Computer Science Engineering Mathematics Statistics) or related field; Masters degree preferred or equivalent experience.
• 5 years of experience applying data science and machine learning in professional settings including end-to-end delivery of analytics/ML solutions.
• Proven track record working with real-world messy datasets (including unstructured/document data) across the full lifecycle: data preparation modeling evaluation and deployment handoff.
• Experience leading or owning significant workstreams within AI/ML or analytics projects ideally in consulting industrial or asset-intensive environments.
• Practical experience working with cloud-based and modern data platforms (e.g. Azure AWS GCP Databricks) and integrating with enterprise data sources and workflows.

Knowledge Skills and Abilities

• Deep proficiency in Python for data science (pandas scikit-learn and related libraries) and strong SQL skills for working with relational and analytical data stores.
• Strong grounding in statistics machine learning and model evaluation including supervised/unsupervised methods feature engineering and performance diagnostics.
• Hands-on experience with NLP and document understanding (e.g. text preprocessing embeddings classification information extraction transformers/LLMs) applied to real datasets.
• Ability to design and implement robust maintainable analytics and ML pipelines using notebooks and production-ready code with Git-based version control.
• Familiarity with modern data and ML tooling (e.g. Databricks MLflow Docker CI/CD for data/ML) and good practices for experiment tracking and reproducibility.
• Proficiency with BI/visualization tools (e.g. Power BI Tableau) and data storytelling skills to communicate complex analytical results to non-technical stakeholders.
• Excellent communication and stakeholder engagement skills with the ability to frame analytical approaches explain trade-offs and align solutions with business objectives.
• Proven ability to work across multiple projects manage priorities and operate in a fast-moving consulting-style environment while mentoring junior team members.
• Nice to have: exposure to industrial maritime or asset-intensive domains or prior experience in AI consulting or client-facing roles.
• Must hold a valid right to work status in the UK.

Reporting Relationships

This role reports to the Project Manager and does not include direct reports.