AI Data Scientist

A world-leading technology solutions provider, this company specialises in delivering cutting-edge innovation and strategic workforce solutions to complex challenges across diverse industries, enabling clients to achieve their goals with efficiency and excellence.

Responsibilities

• Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
• Design and develop machine learning models and analytical approaches for search, discovery, and insight generation across structured and unstructured data.
• Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
• Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
• Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
• Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
• U.S. Citizenship and ability to obtain and maintain a Public Trust clearance.
• Experience developing and applying machine learning models, including Natural Language Processing (NLP), Semantic search, and Entity resolution.
• Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
• Experience working with Databricks and/or Spark-based environments and AWS cloud services for data processing or model deployment.

Benefits

• Opportunity to work on cutting-edge AI/analytics projects.
• Collaborative and agile work environment.
• Comprehensive health and welfare benefits coverage options.
• Participation in a 401(k) plan.