51 to 75 of 123 Time Series Forecasting Jobs in the UK

role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role, you’ll develop models that drive pricing optimisation, margin forecasting, and deal scoring. Turning data into actionable insights for high-stakes commercial decisions. From regression and clustering to time series forecasting, you’ll apply advanced techniques More ❯

role in shaping smarter pricing, deal governance, and business performance through cutting-edge machine learning. In this hands-on role, you’ll develop models that drive pricing optimisation, margin forecasting, and deal scoring. Turning data into actionable insights for high-stakes commercial decisions. From regression and clustering to time series forecasting, you’ll apply advanced techniques More ❯

Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and More ❯

new chart types and optimize visualization performance Enhance dash boarding capabilities to deliver fast and flexible experiences AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on More ❯

integrating uncertain information from multiple medical data sources. Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large models, and time series forecasting pipelines tailored to address specific business needs. Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness. Engage … and giving back is part of our DNA. More at JohnSnowLabs.com We are a fully virtual company, collaborating across 28 countries. This is a contract opportunity, not a full-time employment role. This role requires the availability of at least 30-40 hours per week. #J-18808-Ljbffr More ❯

behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. … and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to explain complex concepts to non-technical stakeholders. Business Acumen More ❯

and enable fair monetization. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to identify relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders. … insights. Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Statistical Methods: Expertise in regression, generalized linear models, panel data, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to translate complex concepts to non-technical stakeholders. Business Acumen More ❯

Data Cleaning and Preparation: Collect, 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 robustness of models, interpret results … and SQL including data manipulation, 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 statistical concepts and insights to More ❯

Data Cleaning and Preparation: Collect, 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 robustness of models, interpret results … and SQL including data manipulation, 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 statistical concepts and insights to More ❯

Data Cleaning and Preparation: Collect, 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 robustness of models, interpret results … like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. 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 statistical concepts and insights to More ❯

Job Description We're hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you'll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance. Key Responsibilities Build and deploy … time series forecasting models to predict traffic, ad performance, and revenue Work across multiple temporal resolutions (daily, weekly, monthly) Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy … Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple projects Strong Python and SQL skills Experience deploying models into production in a cloud environment (GCP ) Ability to work independently and manage delivery from end to end Strong communication More ❯

permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Data Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive … revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy. The Role As a Senior Data Scientist within the Forecasting Algorithms team, you'll design and deploy high-frequency demand forecasting models that directly … a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation. Key Responsibilities: Design and deploy time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting 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 ❯

Social network you want to login/join with: Location: London, UK (Hybrid) Type: Full-Time Who we are Artefact is a new generation of data service provider, specialising in data-driven consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organisations. With skyrocketing growth, Artefact has … for remote management and deployment. Model : Implement models (e.g., linear regression, gradient boosting) with training/testing datasets, cross-validation, performance visualisation, and use hosted APIs; explore techniques like time-series forecasting, clustering, or Bayesian inference. Orchestration and Parallelisation : Manage workflows with tools like Metaflow, MLFlow, AirFlow, or DVC; utilise parallelisation frameworks like PySpark or Ray for More ❯

statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity with Docker, time series forecasting, or LLM technologies is advantageous. A background or exposure to finance is useful but not mandatory. Bachelor’s degree (or higher) in a quantitative or More ❯

advanced decision-support solutions for enterprise customers. This position demands a combination of technical depth, strategic vision, and cross-functional leadership to drive innovation in AI-driven decision-making, forecasting, and optimization. Your Impact Develop and Refine Product Roadmap: Define and execute the product roadmap for optimization and machine learning capabilities, aligning innovations with business needs and market trends. … deploying advanced analytics and enterprise ML products. Expertise in Mathematical Optimization: linear programming (LP), quadratic programming (QP), and mixed-integer programming (MIP). Proficiency in Machine Learning models, including time-series forecasting, clustering, random forest, and deep learning. Hands-on experience with solvers like Gurobi, CPLEX, SCIP, or GLPK. Familiarity with Agile methodologies such as Scrum or More ❯

as well as to drive collaboration. 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 Analytics #J-18808-Ljbffr More ❯

surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date. Responsibilities Integrate and Scale … owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP … models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Requirements Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is More ❯

and leagues around the world Familiarity with a broad range of statistical techniques, such as regression modelling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, ensemble modelling, and time series forecasting Interest in betting/prediction problems A flair for communicating statistical analyses to both technical and non-technical audiences Experience with SQL and relational databases … the betting industry A good understanding of the mechanics of betting markets Project management skills, including an ability to make sensible value judgements about where the team should spend time Experience producing readable, testable and maintainable code on a collaborative codebase A good knowledge of AWS (or a similar cloud platform) What we offer Half yearly bonus opportunities based More ❯

to join our newly established Demand and Marketing Analytics team. In this role, you will play a pivotal role in enhancing marketing effectiveness through advanced analytics and supporting demand forecasting initiatives, ensuring our marketing strategies are data-driven and impactful. As a Marketplace, Marketing is one of Too Good To Go’s most powerful levers for driving demand. Consequently … impact modeling and econometric modeling. That said, your role may extend beyond marketing. We are looking for someone who can also contribute to broader analytical initiatives, such as demand forecasting and other data-driven projects. If you’re passionate about leveraging analytics to make a real-world impact and thrive in a dynamic, collaborative environment, we’d love to … effective models and tools. Conduct in-depth analyses to identify drivers of demand and quantify the impact of marketing initiatives. Create advanced analytical tools and models to enhance demand forecasting accuracy. Contribute to broader data-driven projects, leveraging advanced analytics to support company-wide objectives. Requirements You have a minimum Master in econometrics, statistics, data science, or similar. Previous More ❯

well as to drive collaboration. 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 Analytics More ❯

Develop new chart types and optimize visualization performance. Enhance dashboarding capabilities to deliver fast and flexible experiences. AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models. Collaborate with research teams on More ❯

Social network you want to login/join with: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work … modern CI/CD pipelines to streamline deployment Operate in a cloud environment (AWS preferred) Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model More ❯

Social network you want to login/join with: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work … modern CI/CD pipelines to streamline deployment Operate in a cloud environment (AWS preferred) Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model More ❯

Key Responsibilities: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to … to the development of a data-driven web application using JavaScript/TypeScript and Next.js Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model More ❯