4 of 4 Time Series Forecasting Jobs in the North of England

Title: Data Scientist Location Options: Scottsdale, AZ Stamford, CT Wakefield, MA Las Vegas, NV Job Type: Full Time Exempt Who You Are: As a Data Scientist at Curaleaf, you'll play a critical role in shaping the future of the cannabis industry through data-driven insights. We're looking for a results-oriented professional with expertise in time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models to predict demand, sales, and … inventory using advanced techniques like Prophet and LSTM. Analyze complex business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross-functional teams to provide data-driven recommendations. Use data visualization to communicate results to non-technical stakeholders and stay current on forecasting trends, particularly within the cannabis industry. More ❯

Data Science techniques can add significant value, collaborating with and enthusing our stakeholders. You will: Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our More ❯

with both structured and unstructured datasets Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP Bonus if you have: Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling Familiarity with recommendation systems, customer segmentation or demand forecasting They're a collaborative bunch, data has real buy-in across the More ❯

with both structured and unstructured datasets Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP Bonus if you have: Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling Familiarity with recommendation systems, customer segmentation or demand forecasting They're a collaborative bunch, data has real buy-in across the More ❯