Junior Data Scientist - AI Practice Team in Cheshire, Warrington

ABS is seeking an exceptional Junior Data Scientist to join us full‑time on our Artificial Intelligence (AI) Practice Team, Europe. In this role, you will support AI consulting engagements focused on policy, data, and document‑centric solutions by preparing, analyzing, and modeling client data as part of a multidisciplinary delivery team. Working closely with senior data scientists, consultants, and domain experts, you will help turn real‑world datasets into actionable insights, features, and reusable assets that underpin our AI solutions. Based in Warrington or London, England with some remote flexibility, you will gain exposure to modern AI, data tooling, and industrial use cases while building robust, production‑aware analytics skills.

What You Will Do

• Support AI consulting engagements by cleaning, structuring, and analyzing client data (tabular, time‑series, and document‑based) to enable modeling and insight generation.
• Contribute to development, testing, and documentation of machine learning models, analytics pipelines, and proof‑of‑concept solutions under guidance from senior data scientists.
• Work with our document and data services to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources using NLP and related techniques.
• Build and maintain basic 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 questions into analytical tasks, validate results, and refine approaches based on feedback.
• Help maintain clean, reproducible project assets (code, notebooks, datasets, documentation) using modern collaboration and version control tools.

What You Will Need

• Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field, or equivalent practical experience.
• 2+ years of combined experience through projects, internships, or professional roles applying data science/ML methods and tools.
• Practical experience applying core techniques in data preprocessing, modeling, and evaluation using Python, SQL, and common ML libraries.
• Exposure to AI/ML or analytics projects in academic, research, or professional environments, ideally with real‑world or messy datasets.
• Familiarity with cloud‑based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and BI tools is a plus but not mandatory.

Knowledge, Skills, And Abilities

• Strong foundation in data science/ML concepts and statistics, with hands‑on experience in Python (e.g., pandas, scikit‑learn) and working with SQL‑based data sources.
• Ability to clean, structure, and analyze real‑world datasets, including unstructured or semi‑structured data (e.g., documents, logs, text).
• Comfortable working with Jupyter notebooks and Git‑based workflows for reproducible and version‑controlled analysis.
• Clear, structured communication skills, including the ability to explain analytical work and findings to non‑technical stakeholders in a concise, business‑relevant way.
• Collaborative mindset and willingness to learn, taking feedback from senior team members and adapting quickly to new tools, methods, and domains.
• Organized, detail‑oriented working style, with the ability to manage tasks across multiple projects and meet deadlines reliably.
• Must hold a valid right to work status in the UK.

Nice to Have

• Experience applying ML/NLP to real datasets (e.g., classification, forecasting, document information extraction, OCR, LLMs, or search/retrieval systems).
• Exposure to cloud platforms (Azure/AWS/GCP), ML tooling (e.g., Databricks, MLflow, Docker), and BI/visualization tools (Power BI, Tableau).
• Any exposure to industrial, maritime, or asset‑intensive domains, or to consulting/client‑facing environments.

Reporting Relationships

This role reports to the Senior Data Scientist 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.