Strategy in Action is a pioneering Strategy-as-a-Service (SaaS) provider revolutionizing how organizations develop and implement strategic initiatives. As the first company to offer comprehensive strategy services through an innovative technology platform, we combine deep management consulting expertise with cutting-edge artificial intelligence. Our mission is to democratize access to world-class strategic thinking by creating intelligent systems that augment human decision-making. Our unique approach integrates traditional strategy frameworks with advanced knowledge representation and large language models, enabling companies of all sizes to benefit from strategic insights previously available only to enterprises with significant consulting budgets.
We are seeking an exceptional ML Engineer / Data Scientist to design and implement our next-generation strategic intelligence system. You will play a crucial role in connecting business strategy ontologies and knowledge graphs with large language models like OpenAI, Anthropic and Gemini. This position offers a unique opportunity to work at the intersection of knowledge engineering, artificial intelligence, and business strategy. Implement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data
Build data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources, unstructured documents)
Create prompt engineering templates that effectively incorporate knowledge graph structures
Bachelor's degree or Master’s Degree in Computer Science, Data Science, Information Science, or related field
~4-5 years of hands-on experience in Machine Learning, Data Science or Software Development
~ Experience with graph database technologies (Neo4j preferred)
~ Strong programming skills in Python
~ Familiarity with large language models and prompt engineering
~ Experience with ontology development tools and languages (OWL, RDF, Protégé)
Contributions to knowledge graph or ontology projects
Background in semantic web technologies or linked data principles
Programming Languages : Proficiency with Python is mandatory. Knowledge of JavaScript is also beneficial.
Data Engineering : ETL pipelines, data integration patterns
Machine Learning : NLP, embedding models, text classification
Prompt engineering, context management
Cloud Platforms : GCP familiarity is preferred (alternatively AWS or Azure).
This role offers the unique opportunity to shape the future of strategic decision-making at the intersection of structured knowledge and artificial intelligence. Working with both strategy experts and technical innovators, you'll help build technology that makes world-class strategic thinking accessible to organizations of all sizes. Flexible/Remote/Office Location)