AI & Data Science Consultant/Engineer (Japanese Speaking)

About Us

ABeam Consulting is a global professional services company that specializes in delivering business transformation and technology solutions to clients across a wide range of industries. With a global presence and over 9000 employees worldwide we aim to be the transformation partner of choice for all of our clients.

Responsibilities

• Generative AI & Agentic AI Solution Development
  • Design and develop AI-powered applications using Generative AI, Large Language Models (LLMs), and enterprise AI platforms.
  • Build and integrate end-to-end AI solutions, including frontend, backend, APIs, and enterprise systems.
  • Develop agentic AI solutions using platforms such as Microsoft Copilot Studio and AI agent frameworks.
  • Design secure and scalable cloud-based AI architectures.
  • Keep abreast of emerging trends and technologies in Generative AI and Agentic AI.
• Data Science & Advanced Analytics
  • Analyse structured and unstructured data to generate business insights and recommendations.
  • Develop machine learning, predictive, and statistical models to support data-driven decision-making.
  • Apply advanced analytics techniques such as NLP, forecasting, classification, clustering, and anomaly detection.
  • Design and execute experiments, including A/B testing, to evaluate business impact.
  • Develop dashboards, visualisations, and ML pipelines to support analytics and model deployment.
• Consulting & Client Advisory
  • Translate business requirements into AI and data-driven solutions.
  • Collaborate with clients to identify use cases, define solution approaches, and develop implementation roadmaps.
  • Conduct workshops and stakeholder discussions on AI adoption, data strategy, and solution design.
  • Present analytical insights and technical recommendations to business stakeholders.
• Pre-Sales Support
  • Develop demonstrations, prototypes, and proof-of-concepts (PoCs) to support client engagements.
  • Assist in solution presentations, proposals, and business development activities.
  • Showcase AI and data science capabilities to prospective clients and stakeholders.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.
• Minimum 3 years of relevant experience in Generative AI, Agentic AI, Machine Learning, Data Science, Advanced Analytics, or AI/ML application development.
• Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, Scikit-learn, and data visualisation tools.
• Experience developing APIs and backend services using frameworks such as FastAPI or Flask.
• Familiarity with modern web technologies such as JavaScript, TypeScript, or React.
• Strong SQL skills, including experience with complex queries, data modelling, and analytical processing.
• Hands-on experience with Generative AI technologies, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Experience developing AI-powered applications and agentic AI solutions using AI agent frameworks, automation platforms, or Microsoft Copilot Studio.
• Solid understanding of machine learning algorithms, statistical modelling, and data science methodologies.
• Experience with model evaluation, hyperparameter tuning, experimentation, and A/B testing.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Plotly, or similar platforms.
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI/ML services.
• Strong analytical, problem-solving, and communication skills with the ability to translate business requirements into technical solutions.
• Ability to effectively communicate with both technical and non-technical stakeholders.
• Strong learning agility and a passion for emerging AI technologies.
• Experience within financial services, trading companies, supply chain, or related industries.
• Business-level Japanese language proficiency (spoken and written) to support Japanese-speaking clients and stakeholders.
• Experience with LangChain, Semantic Kernel, multi-agent orchestration frameworks, or enterprise AI platforms will be advantageous.
• Knowledge of MLOps, CI/CD pipelines, containerisation technologies, and DevOps practices.
• Prior consulting or client-facing experience is preferred.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP's regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamon