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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Scientist - AI Practice Team - **Company:** American Bureau of Shipping - **Location:** Warrington, UK - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Optical Character Recognition (OCR), Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Data as a Services, Data Cleansing, Data Infrastructure, Data Visualization, Information Extraction, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Jupyter Notebook, Google Cloud, Large Language Models, Pandas, Semi-structured Data, Git Flow, Scikit Learn, Information Technology, Machine Learning Operations, Docker, Databricks - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815441312-junior-data-scientist-ai-practice-team ## About the Role * 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., * 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., * 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. ## Description * 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. ## Related Videos - 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