Senior Data Scientist: Time-Series Forecasting & ML Engineer

Gt Hq; Nottingham; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

GT is seeking a Senior Data Scientist / ML Engineer to join a UK-based client in healthcare and pharmacy. The role combines forecasting and ML with end-to-end delivery ownership, from discovery through deployment and productionisation.

Based in Nottingham with office attendance 1–2 days per week, you will work on a 6-month project to build a scalable forecasting platform using clinic and marketing data to predict usage and staffing needs, improving operational efficiency.

Qualifications

• 4+ years of commercial experience in Data Science / Machine Learning.
• Hands-on with Databricks, Notebooks, PySpark, Workflows, Deployment through Asset Bundles.
• Proven experience building, deploying, and maintaining production ML solutions.
• Broad experience across multiple ML domains, including Forecasting / Time-Series Modelling, Regression, Classification, Gradient Boosting models (e.g. XGBoost, LightGBM).
• Experience with cloud environments (Azure preferred, AWS/GCP also considered).
• Fluent English.

Responsibilities

• Design, train, and deploy ML models for time-series forecasting and related data tasks
• Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure)
• Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)
• Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions
• Participate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholders
• Work closely with business stakeholders and SMEs to gather requirements, shape solutions, and drive project discovery
• Communicate modelling approaches, assumptions, and results to both technical and non-technical audiences

Skills

Python

Pandas

NumPy

scikit-learn

PyTorch

Tools

Databricks

Notebooks

PySpark

Workflows

Asset Bundles

Job description

GT is seeking a Senior Data Scientist / ML Engineer to join a UK-based client in healthcare and pharmacy. The role combines forecasting and ML with end-to-end delivery ownership, from discovery through deployment and productionisation.

Based in Nottingham with office attendance 1–2 days per week, you will work on a 6-month project to build a scalable forecasting platform using clinic and marketing data to predict usage and staffing needs, improving operational efficiency.