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Senior Data Scientist / ML Engineer (Forecasting) | NDA

gt-hqUK - HybridConfidential
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Salary
Not listed
Job type
Contract
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Senior Data Scientist / ML Engineer (Forecasting) at gt-hq in Nottingham is a contract role that suits an experienced machine learning professional seeking a hybrid position within the healthcare sector. The position involves building predictive forecasting models to optimize clinic operations and resource management for a major healthcare network.

Role Overview

This contractor opportunity is based in Nottingham, United Kingdom, requiring physical office attendance up to three days per week. The initial project duration is set for six months with the possibility of an extension. The work focuses on creating a scalable platform that processes historical marketing and clinic records to forecast future staffing levels and facility usage.

Key Responsibilities

Architect, train, and launch machine learning models specifically focused on time-series forecasting and related analytical tasks.
Construct and support data pipelines leveraging major cloud-native platforms like Azure, AWS, or GCP.
Refine and build forecasting tools utilizing libraries and frameworks such as Prophet, ARIMA, LSTM, and TimeGPT.
Partner alongside product, cloud, and data engineering personnel to release scalable solutions.
Manage the entire project lifecycle starting from initial discovery and proofs of concept through production deployment.
Engage directly with subject matter experts and business stakeholders to gather project requirements and present technical findings.

Requirements

Minimum of four years of professional commercial background in data science and machine learning.
Practical familiarity with Databricks, notebooks, PySpark, workflows, and asset bundle deployment.
Demonstrated history of designing, releasing, and supporting production machine learning systems.
Background across multiple machine learning areas including regression, classification, gradient boosting, and time-series forecasting.
Proficiency in Python libraries including NumPy, Pandas, scikit-learn, and PyTorch, alongside SQL and Git version control.
Practical usage of cloud platforms with a preference for Azure.
Fluent English language capabilities.

Nice to Have

Background in retail or other consumer-focused sectors.
Knowledge of Azure DevOps tools like Repos, Boards, and Pipelines.
Experience with Databricks model training, inference workflows, Apps, and Lakebase.
Familiarity with retrieval-augmented generation pipelines and vector databases such as Weaviate and Milvus.
Understanding of large language model evaluation frameworks like DeepEval.

Skills and Tools

Python
SQL
PySpark
Databricks
Azure, AWS, GCP
Prophet, ARIMA, LSTM, TimeGPT
XGBoost, LightGBM
PyTorch, scikit-learn, Pandas, NumPy
Git

About the Company

GT connects top-tier talent with product-focused roles across the United States, United Kingdom, Canada, Germany, and the Netherlands. Founded in 2019 by an executive formerly with Apple, Nest, and Google, the agency places professionals into high-impact environments across industries like fintech, healthcare, life sciences, finance, and retail.

How to Apply

To apply for this opportunity, please visit the official company careers page.

Skills and tech stack

PythonSQLPySparkDatabricksAzureAWSGCPProphetARIMALSTMTimeGPTXGBoostLightGBMPyTorchscikit-learnPandasNumPyGitAzure DevOpsWeaviateMilvusDeepEvalLLMRAGMachine Learning

Questions candidates ask

Where is the job located?

The position is based in Nottingham, United Kingdom, with a hybrid setup requiring office attendance up to three days per week.

What is the duration of the project?

The project is contracted for six months with a possibility of extension.

How many years of experience are required?

Candidates must have at least four years of commercial experience in data science and machine learning.

What specific cloud platforms are accepted?

Azure is preferred, but AWS and GCP are also considered.

What are the interview steps for this role?

The interview process includes a recruiter interview with GT, a technical interview, a cultural fit interview, a final interview, a reference check, and a security check.

Ready to apply?

The application is on the official gt-hq careers page.

Apply on company site