Senior Data Scientist - Generative AI & ML (Hybrid)

MSD; United Kingdom; Hybrid; GBP 98,000 - 154,000; Full time

Job summary

MSD seeks a Senior Data Scientist to shape analytics for our manufacturing division, applying ML, deep learning, and generative AI to production systems.

You will collaborate with IT, engineering, and operations, delivering scalable analytics products, prototypes, and adoption support across projects, with an emphasis on robust data-driven insights. The role blends research with practical deployment in a hybrid UK environment.

Qualifications

• Bachelor’s degree required in a technical field.
• PhD or Master’s with 2+ years in data science and ML projects preferred.
• Strong Python and ML libraries experience (scikit-learn, Keras, TensorFlow, PyTorch).
• Experience with Agile methodologies and cross-functional collaboration.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Independently design and develop innovative quantitative methodologies using ML, DL, and generative AI.
• Apply data science techniques to create tools for monitoring, optimization, and predictive analytics.
• Develop end-to-end digital solutions, including automation of data workflows and integration into existing systems.
• Engage with customers and stakeholders to understand needs and align with business objectives.
• Build and document analytics applications, platforms, and processes to unlock value through insights.
• Stay updated on AI/ML best practices, methodologies, and ethics in production environments.

Skills

Python

Machine learning

Deep learning

Generative AI

Data analysis

MLOps

Communication

Agile

Education

Bachelor's degree

PhD or Master’s in a related field with 2+ years experience

Tools

scikit-learn

Keras

TensorFlow

PyTorch

Docker

Job description

MSD seeks a Senior Data Scientist to shape analytics for our manufacturing division, applying ML, deep learning, and generative AI to production systems.

You will collaborate with IT, engineering, and operations, delivering scalable analytics products, prototypes, and adoption support across projects, with an emphasis on robust data-driven insights. The role blends research with practical deployment in a hybrid UK environment.