Senior Data Scientist – Ai – ML – Python – MML – Japanese & English Speaking
Working Pattern: Hybrid (1–2 days per week in office)
Location: London
The Data Science function plays a pivotal role in delivering advanced Artificial Intelligence capabilities across the organisation. This position focuses on designing, developing, and deploying production-grade machine learning solutions while contributing to the strategic growth of AI-driven products. The successful candidate will join a multidisciplinary, globally distributed team and collaborate closely with Software Engineers, Product Managers, and other stakeholders. The role requires strong mathematical and statistical foundations, excellent software engineering skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning.
Key Responsibilities
- Design, build, and deploy advanced machine learning models and algorithms into production.
- Lead technical development within cross-functional teams, providing guidance on ML solution design and implementation.
- Translate business problems into clearly defined data science solutions and deliver end-to-end ML pipelines.
- Support proof-of-value initiatives and contribute to product roadmap development from a Data Science perspective.
- Drive continuous improvement within the Data Science function and promote best practices in model development and deployment.
- Stay current with emerging research, tools, and trends in Artificial Intelligence.
Skills, Knowledge, and Experience
- Strong proficiency in Python and experience writing scalable, production-ready code.
- Hands-on experience with PyTorch, Transformer architectures, and Large Language Models (LLMs).
- Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production.
- Solid understanding of model deployment, pipelines, and software development fundamentals.
- Expertise in Deep Learning, including training, evaluation, and optimisation.
- Strong grounding in mathematics, statistics, and data analysis.
- Experience working in Agile environments.
- Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable.
Professional Values
- Growth: Demonstrates curiosity, adaptability, and continuous learning.
- Accountability: Takes ownership and delivers to a high standard.
- Innovation: Embraces experimentation and emerging technologies to drive progress.
- Collaboration: Works effectively across teams to achieve shared goals.
Role Purpose
This role will advance the organisation’s AI and automation capabilities through the design and deployment of intelligent systems that process complex, unstructured data. The Senior Data Scientist will help enhance efficiency, accuracy, and scalability across key operations and products.
