Strategio is seeking a Data Scientist with strong AI engineering capabilities to join a dynamic Technology Delivery Team supporting large-scale enterprise AI innovation initiatives.

You will work on designing and implementing systems that combine traditional data science methodologies with AI-powered applications, integrating advanced analytics, retrieval systems, and knowledge graph architectures to generate intelligent insights from enterprise data.

The ideal candidate brings deep analytical thinking, strong Python development skills, and hands-on experience building AI-enabled data solutions.

About You:

You’re a curious and analytical problem-solver who enjoys working at the intersection of data science, machine learning, and AI systems engineering.

You have experience applying statistical modeling and probability-based analysis, but you also understand how to operationalize AI systems by integrating large language models, retrieval pipelines, and knowledge graphs into real-world applications.

You’re comfortable navigating ambiguous problems, exploring new AI technologies, and iterating quickly to build solutions that extract meaningful insights from complex data.

You thrive in collaborative environments and bring strong ownership, curiosity, and adaptability to the work.

As a Strategio Data Scientist/AI Engineer, you will:

• Perform statistical analysis and probabilistic modeling to extract insights from structured and unstructured data
• Design and implement data models and analytical frameworks
• Develop and integrate LLM-powered workflows and AI systems
• Implement Retrieval-Augmented Generation (RAG) architectures
• Build and integrate knowledge graph-based retrieval systems
• Develop embedding pipelines and vector representations to support AI-powered data analysis
• Connect AI systems with enterprise data sources to enhance analytical capabilities
• Translate complex data problems into scalable AI-enabled solutions
•   Collaborate with cross-functional engineering teams in Agile environments

Core Skills

• Advanced Python development
• Strong experience in statistical analysis and probability modeling
• Experience designing data models and analytical frameworks
• Real production experience with LLM systems, not just experimentation
• Experience implementing RAG or Graph-RAG architectures
• Experience working with knowledge graphs
• Experience developing embedding pipelines and vector-based retrieval systems
• Strong analytical and problem-solving skills
• Ability to work across data science and AI engineering workflows

Nice-to-Haves:

• Experience with vector databases (Pinecone, FAISS, Chroma, etc.)
• Experience deploying AI solutions to cloud environments (AWS, Azure, or GCP)
• Familiarity with ontology modeling or semantic data structures
• Experience working in startup or fast-paced innovation environments

Your job search ends here.

If you’re eager to contribute to cutting-edge projects and want to work with a high-performance team, apply now.