Senior Data Scientist / ML Engineer (Forecasting) | NDA

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
Our clients operate in industries like healthcare, life sciences, fintech, retail, e-commerce, finance and many more - giving our team exposure to real-world, high-impact projects.

ABOUT THE ROLE

We’re looking for a Senior Data Scientist / ML Engineer to join a UK-based client in the healthcare and pharmacy domain.

The role combines forecasting and machine learning with end-to-end ownership of solution delivery, from project discovery and stakeholder collaboration through model development, deployment, and productionisation.

Location: Nottingham, UK

Office attendance: 1-2 days per week in the Nottingham office.

Project duration: 6 months (with possible extension).

Project Details:
The project focuses on developing a forecasting solution for a large healthcare network.
It uses historical clinic and marketing data to predict clinic usage and staffing needs, helping optimize scheduling and resource allocation.
The goal is to build a scalable, data-driven platform that improves operational efficiency.

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 aud...