19 of 19 Permanent Time Series Forecasting Jobs in the UK excluding London

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 ❯

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills … other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions. … in Python for data analysis, modelling, and deployment. Advanced skills in SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment More ❯

a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills … other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions. … in Python for data analysis, modelling, and deployment. Advanced skills in SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment More ❯

a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand-delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills … other client accounts & tasks. Some Key Responsibilities of the Role: Design and deploy predictive models for leak and burst detection in water networks. Perform time-series forecasting of customer demand and leak rates. Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions. … in Python for data analysis, modelling, and deployment. Advanced skills in SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment More ❯

the place for you. Key Responsibilities Work directly with clients, presenting your findings and insights to drive decision-making. Collaborate on clustering, regression, and time-series forecasting projects to optimize product promotions. Focus on building models to assess brand performance, helping clients understand which products to promote … roles, able to communicate data-driven insights and recommendations clearly. Proficient in SQL and Python for data analysis and modelling. Strong experience with clustering, time-series forecasting, and regression techniques. How to Apply Please register your interest by sending your CV to Emily Burgess via the Apply More ❯

but not mandatory. Innovation Focus : Demonstrated interest in experimentation, model interpretability, and ethical AI practices. Bonus points for experience with generative AI, LLMs or time-series forecasting at scale. Communication : Clear, persuasive communicator with the ability to present technical findings to non-technical audiences and influence senior … data-powered innovation. You’ll be empowered to explore emerging methods and tools, traditional statistical modelling ideas, and foundation models to advance to real-time personalisation techniques. The company is already investing heavily in its next-gen analytics stack and sees data science as a strategic driver of growth More ❯

but not mandatory. Innovation Focus : Demonstrated interest in experimentation, model interpretability, and ethical AI practices. Bonus points for experience with generative AI, LLMs or time-series forecasting at scale. Communication : Clear, persuasive communicator with the ability to present technical findings to non-technical audiences and influence senior … data-powered innovation. You’ll be empowered to explore emerging methods and tools, traditional statistical modelling ideas, and foundation models to advance to real-time personalisation techniques. The company is already investing heavily in its next-gen analytics stack and sees data science as a strategic driver of growth More ❯

clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and … data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex More ❯

clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and … data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex More ❯

enterprise customers. This role demands a combination of technical depth, strategic vision, and cross-functional leadership to drive innovation in AI-driven decision-making, forecasting, and optimisation. Your Impact: Develop and Refine Product Roadmap: Define and execute the product roadmap for optimisation and machine learning capabilities. Align innovations with … Expertise: Strong knowledge of linear programming (LP), quadratic programming (QP), and mixed-integer programming (MIP). Machine Learning Proficiency: Understanding of ML models, including time-series forecasting, clustering, random forest, and deep learning. Experience with Solvers: Hands-on experience with Gurobi, CPLEX, or open-source solvers like More ❯

Preferred Requirements Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives. Experience in applying modelling techniques e.g. time series forecasting, segmentation/clustering, anomaly detection. If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech More ❯

for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical More ❯

for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical More ❯

in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected, you should have a broad awareness of available techniques and tools, and understand More ❯

in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn’t expected, you should have a broad awareness of available techniques and tools, and understand More ❯

the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred More ❯

the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred More ❯