Senior Data Scientist / ML Engineer (Forecasting) | NDA
Publicada el 2026-08-02
Descripción de la oferta
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 RoleWe’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, UKOffice 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 tasksBuild 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 solutionsParticipate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholdersWork closely with business stakeholders and SMEs to gather requirements, shape solutions, and drive project discoveryCommunicate modelling approaches, assumptions, and results to both technical and non-technical audiencesEssential knowledge, skills & experience (must-have):4+ years of commercial experience in Data Science / Machine LearningHands-on experience with: DatabricksNotebooksPySparkWorkflowsDeployment through Asset BundlesProven experience building, deploying, and maintaining production ML solutionsBroad experience across multiple ML domains, including:Forecasting / Time-Series ModellingRegressionClassificationGradient Boosting models (e.g. XGBoost, LightGBM)Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch)Experience with model evaluation, performance monitoring, and accuracy metricsVersion control (Git)Experience working with cloud environments (Azure preferred, AWS/GCP also considered)SQLFluent English Nice-to-have:Retail or similar consumer-facing industry experienceAzure DevOps:ReposBoardsPipelinesExperience with Databricks model training and inference workflowsDatabricks Apps and LakebaseExperience with RAG pipelinesExperience with vector databases (Weaviate, Milvus)Familiarity with LLM evaluation frameworks (e.g. DeepEval)Soft SkillsStrong sense of ownership and accountabilityStrong stakeholder management skillsProactive attitude and ability to work independentlyClear and confident communication with both tech and non-tech stakeholdersComfortable working in ambiguity and helping define requirementsStrategic thinking and focus on business impactTeam playerInterview StepsGT interview with RecruiterTechnical interviewFinal interviewReference checkSecurity checkFind more English Speaking Jobs in United Kingdom on Arbeitnow
Skills
- Machine Learning
- Vector Databases
- scikit-learn
- Data Science
- Databricks
- Ecommerce
- PyTorch
- Inglés
- Pandas
- Azure
- AWS
- Google Cloud
- Python
- Growth Hacking
- NumPy
- Git
- RAG
- SQL
- TensorFlow
- MLOps
Fuente original: arbeitnow