Junior Data Scientist - AI Practice Team

Job Description

ABS is seeking an exceptional Junior Data Scientist to join us full‑time on our Artificial Intelligence (AI) Practice Team. In this role, you will support AI consulting engagements focused on policy, data, and document‑centric solutions by preparing, analysing, and modelling client data as part of a multidisciplinary delivery team.

This position can be based in Houston, Texas;
Knoxville, Tennessee; or Washington, DC.

• Support AI consulting engagements by cleaning, structuring, and analysing client data (tabular, time‑series, and document‑based) to enable modelling 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 visualisations (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.

• 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, modelling, 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 analyse 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.
• Organised, detail‑oriented working style, with the ability to manage tasks across multiple projects and meet deadlines reliably.

• Experience applying ML/NLP to real datasets (e.g., classification, forecasting, document information extraction, OCR, LLMs, or search/retrieval systems).
• Any exposure to industrial, maritime, or asset‑intensive domains, or to consulting/client‑facing environments.

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

$75,000 - $100,000 USD. Starting salary is based on multiple factors including skillset and experience.

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 organisations 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…