Junior Data Scientist AI Practice Team

ABS is seeking an exceptional Junior Data Scientist to join us full-time on our Artificial Intelligence (AI) Practice Team 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:

Education and Experience

• Bachelors 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:

Thiis role reports to the Senior Data Scientist and does not include direct reports.