3 of 3 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 More ❯

PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role is an immediate full-time position. If you're ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading. Insight on … your impact Our PlanIQ Group is responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre … and coding a wide variety of features to deal with different data types and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical More ❯

models that help optimise operations, increase efficiency, and deliver smarter insights to inform key decisions across the business. You'll tackle projects such as forecasting passenger spend, optimising driver routes and the use of car park space, and using AI to monitor alternative data channels like CCTV and social … polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation. You'll have a proven ability to work with cross-functional teams and More ❯