Senior Data Scientist - AI Practice Team

ABS Group; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

ABS Group is seeking a Senior Data Scientist for our Europe AI Practice, based in Warrington or London with some remote flexibility. You will design and deliver analytics and ML solutions across policy and document-centric projects, handling real-world data from industrial domains and driving production-aware, business-focused insights.

You will lead data preparation, model development, NLP enhancements, and dashboard delivery while mentoring junior team members and collaborating with domain

Qualifications

• Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master’s 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.

Responsibilities

• 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 dashboards, reports, and visualizations to communicate findings to consultants and client stakeholders.
• Collaborate with consultants and domain experts to translate business problems into analytical solutions and present recommendations.
• Ensure technical quality, reproducibility, and governance by establishing good practices for code, data management, and model tracking.
• Mentor and support junior data scientists, providing guidance on methods, tooling, and best practices.

Skills

Python

SQL

Data Science

Machine Learning

NLP

Azure

AWS

GCP

Databricks

MLflow

Docker

CI/CD

Education

Bachelor's degree in STEM

Master's degree preferred

Tools

Databricks

MLflow

Docker

Job description

We are seeking an exceptional Senior Data Scientist to join us full-time in our Artificial Intelligence (AI) Practice Team, Europe. In 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:

• Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master’s 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.

About Us

We set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times.

ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.

Equal Opportunity

The ABS Group of Companies is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.

Notice

ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.

Other

This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job. #ogjs