Gt Hq

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 optimise 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 optimise 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 Essential knowledge, skills & experience (must have) 4+ years of commercial experience in Data Science / Machine Learning Strong hands on experience 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) Strong Python skills (Pandas, NumPy, scikit learn, PyTorch) Experience with model evaluation, performance monitoring, and accuracy metrics Version control (Git) Experience working with cloud environments (Azure preferred, AWS/GCP also considered) SQL Fluent English Nice to have Retail or similar consumer facing industry experience Azure DevOps: Repos, Boards, Pipelines Experience with Databricks model training and inference workflows Databricks Apps and Lakebase Experience with RAG pipelines Experience with vector databases (Weaviate, Milvus) Familiarity with LLM evaluation frameworks (e.g. DeepEval) Soft Skills Strong sense of ownership and accountability Strong stakeholder management skills Proactive attitude and ability to work independently Clear and confident communication with both tech and non tech stakeholders Comfortable working in ambiguity and helping define requirements Strategic thinking and focus on business impactTeam player Interview Steps GT interview with Recruiter Technical interview Final interview

Gt Hq is seeking a Senior Data Scientist / ML Engineer to join a client project in Nottingham, focusing on forecasting solutions for the healthcare domain. This role requires extensive experience with machine learning and data science methodologies, especially with tools like Databricks and cloud environments. The ideal candidate will have a strong foundation in model development and deployment, coupled with excellent stakeholder management skills. The position is hybrid, requiring attendance in the Nottingham office 1-2 days per week.