New Graduate Data Scientist / AI Engineer / AI Consultant

This full-time permanent position works on AI projects that address clients’ business challenges. The role involves identifying solution approaches centered on machine learning, conducting interviews to understand requirements, acquiring and preparing data, and developing machine-learning and deep-learning models. It also includes consulting on the adoption of deep learning and machine learning, developing the company’s own AI services, and supporting AI talent development through instruction and teaching-material creation.

Projects may involve image, natural-language, time-series, or tabular data, with tasks such as classification, regression, recommendation, segmentation, and generative applications. The position covers both downstream engineering and upstream activities such as planning, client interviews, and understanding the overall project context. Project teams include consultants, data scientists, engineers, and project managers. Future career options include AI consulting, project management, and engineering management.

Development environment includes Python, Rust, PyTorch, and scikit-learn for programming and machine learning; OpenAI API, Anthropic API, LangChain, and LlamaIndex for generative AI and LLM work; AWS, Azure, GCP, and Docker for cloud and infrastructure; Next.js, React, TypeScript, and Tailwind CSS for frontend development; and FastAPI, Node.js, PostgreSQL, Redis, SQLAlchemy, and Pinecone for backend development. The environment may change in response to client requirements and technology trends.

Applicants must be scheduled to graduate from a university or graduate school from March 2027 onward. No specific academic field is required. Required qualifications include a strong interest in solving business problems with AI and data technologies, the ability to draw out and structure another person’s challenges, the ability to follow current AI technology trends and continue learning, and business-level Japanese equivalent to JLPT N1 or above. Preferred experience includes implementing machine-learning or deep-learning systems, internships in consulting, sales, or planning, logical document or presentation-material creation, and using LLMs or generative AI in work or research.

The workplace is in Nihombashi Bakurocho, Tokyo. Remote work is possible, although employees are generally expected to work from the office and may work flexibly by application.