AI/ML Data Scientist

A global technology powerhouse specialising in industrial automation and digital infrastructure is seeking a talented AI/ML Data Scientist to join their innovative team. This is an exciting opportunity to translate complex business needs into scalable data science solutions and drive significant impact through advanced analytics.

The Role

• Partner with stakeholders to define and deliver AI, machine learning, and advanced analytics use cases.
• Design and develop machine learning models for search, discovery, anomaly detection, and fraud detection.
• Utilize Generative AI and foundation models to enhance detection workflows through alert enrichment and contextual analysis.
• Build and implement natural language processing, semantic search, and entity resolution capabilities.
• Collaborate with engineers and stakeholders to integrate models into production using AWS-native services.
• Support the development of dashboards, reporting, alerting, and investigative workflows for operational insights.

What You’ll Need

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
• Minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
• Proven ability to obtain and maintain a Public Trust clearance (U.S. Citizenship preferred).
• Experience with AWS-native data, analytics, AI, and machine learning services.
• Demonstrated competency using Generative AI, large language models, or foundation models for anomaly and fraud detection.
• Strong proficiency in Python for data science and machine learning (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow) and strong SQL skills.

What’s On Offer

• Opportunity to work on cutting-edge AI/ML projects with significant real-world impact.
• Collaboration with a diverse team of experts in an Agile environment.
• Exposure to advanced AWS data lakehouse architectures and services.
• Contribute to thought leadership in AI, analytics, anomaly detection, and fraud detection.

Apply via Haystack today!