1 to 25 of 27 Time Series Forecasting Jobs in London

Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies and validate hypotheses. Strategic Performance Analysis More ❯

is a global strategy consulting firm that addresses the most critical commercial issues for the leaders of some of the world's most successful businesses. Clients come to us time and again because we are proven to act as an insightful expert and a trusted partner. We are uncompromising in our approach to help clients make better decisions at … of industries, including Life Sciences and healthcare, retail and consumer, financial services, industrials, energy and transportation. The Associate (Data Scientist) role As an Associate (Data Scientist) you split your time roughly 50:50 between: Case delivery - embedded in consulting teams to solve live client questions with data science and advanced analytics; and IP & capability build - designing, building and shipping … Deliver end-to-end analytical work-streams : data scoping, modelling, insight generation, presentation Build, test and document production ready ML models -from gradient boosted trees to GenAI and timeseries forecasting-packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users can explore results intuitively Turn insights into actionable recommendations More ❯

of passionate engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets … such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments … help in adjusting the predictive models to account for recurrent issues. 4. Route Optimization: Use data analytics to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create … production monitoring and optimisation Designing and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering best practices including unit … technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale A/B test experiments More ❯

culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career … using SQL and/or other tools. Learn and apply Tableau to build impactful dashboards and visualizations (if not already experienced). Apply statistical methods such as regression, clustering, time series forecasting, etc., where applicable. Collaborate cross-functionally with strategy, marketing, product, and engineering teams. Stay current with industry trends, especially in travel, hospitality, or marketplace dynamics. … Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia More ❯

Data Science team comprises seven members, including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create … to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning … Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Vacation Rentals Regional Analyst page is loaded Vacation Rentals Regional Analyst Apply locations UK - London time type Full time posted on Posted Today time left to apply End Date: July 6, 2025 (28 days left to apply) job requisition id R-95607 Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to … culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career … using SQL and/or other tools. Learn and apply Tableau to build impactful dashboards and visualizations (if not already experienced). Apply statistical methods such as regression, clustering, time series forecasting, etc., where applicable. Collaborate cross-functionally with strategy, marketing, product, and engineering teams. Stay current with industry trends, especially in travel, hospitality, or marketplace dynamics. More ❯

Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret complex data and 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 ❯

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 ❯

DATA SCIENTIST - TIME SERIES FORECASTING 6-MONTH CONTRACT £500-600 PER DAY (INSIDE IR35) This is an exciting opportunity for a Data Scientist to lead the development of robust time series forecasting models for a major media organisation. You'll take ownership of a fully scoped, delivery-focused project, working across daily, weekly, and … model with 2 days a week in their. THE ROLE As the lead Data Scientist on this project, you'll be responsible for the end-to-end delivery of forecasting solutions, from model design to deployment. You'll collaborate closely with stakeholders across marketing, commercial, and product teams to shape model inputs and outputs that are both business-relevant … and technically sound. Your responsibilities will include: Building and deploying time series models for revenue, traffic, and ad performance Operating across multiple temporal resolutions (daily, weekly, monthly) Working with structured web analytics and revenue data in a cloud environment Ensuring models are robust, explainable, and scalable for production use Collaborating with cross-functional teams to understand needs and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Lead Machine Learning Engineer - Forecasting (3-Month Contract) Location: Hybrid (minimum 1 day/week in our Vauxhall, London office) Contract Type: Full-time, Fixed-Term (3 months) Salary: Competitive, based on experience Eligibility: UK-based applicants only About Oddbox Oddbox is on a mission to fight food waste and transform the food system through our fruit and … scale our environmental impact, we're investing in smarter technology and forward-looking ML capabilities. We're now seeking an accomplished Lead Machine Learning Engineer to spearhead innovation in forecasting and customer behaviour modelling , enabling more sustainable, data-driven operations. About the Role This is a contract-to-impact opportunity for an experienced ML leader or Staff+ individual contributor … who thrives in lean, product-oriented environments. You'll be responsible for shaping and delivering end-to-end forecasting systems that influence core supply chain and customer engagement decisions. You will: Lead high-stakes forecasting projects - from ambiguous ideas to productionised ML systems Architect and deploy solutions in collaboration with Product, Engineering, and Ops Ensure data and model More ❯

model interpretability, graph neural nets, among others. We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, natural language processing, time series forecasting, and/or optimization. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we … way possible, this is your chance to make history. About the team EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service More ❯