17 of 17 Permanent Time Series Forecasting Jobs in London

energy and fast forward the energy transition - and we need your help! Role: Data Scientist You’ll lead our data science work, including owning forecasting and pricing optimisation: producing accurate half‐hourly demand and generation forecasts, shaping prices, quantifying uncertainty and translating it into simple decisions for customers … flat, startup environment. A desire to keep learning and having an impact is very important to you. You fear looking back in 10 years time and realising you never made a difference...that you were simply a tiny cog in a large machine that will churn on with or without ...

today. We do not provide software licenses, virtual machines, or hardware. Experience with statistics, econometrics and data analysis is valued, with emphasis on time-series modelling and economic forecasting. #J-18808-Ljbffr ...

Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend ...

Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend ...

early-career professionals who want to apply machine learning, statistical modelling, and data science techniques in real business applications — including pricing optimization, margin forecasting, deal scoring, and opportunity analysis. Role Description AI/ML Model Development: Support development of machine learning models for pricing optimisation, margin prediction, and customer … segmentation. Build and maintain deal scoring and prioritisation models to assess strategic value and commercial risk. Apply techniques like regression, clustering, time series forecasting, and classification to commercial datasets. Data Analysis & Insight: Analyse historical pricing, win/loss, vendor incentive and cost data to uncover trends ...

product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding … ITSM, observability, Agile, or platform engineering are a plus. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable ...

compiling, and analyzing big data. Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models. Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred … days a week in office required A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short ...

decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights and inform … advanced analytics, or statistical modelling roles. Proficiencyin Python or R for statistical analysis, machine learning, and data manipulation. Experienceinstatistical modelling techniques such as regression, time series forecasting, clustering, classification, and survival analysis. Experience delivering POCs, shaping early‐stage analytics functions, and building new workflows Preferred Qualifications KnowledgeofMLOpspractices ...

compiling, and analyzing big data. Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models. Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred … days a week in office required A Culture of Learning & Mobility:Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future:Retirement planning and tuition reimbursement programs that empower you to achieve your short ...

enhancing our algorithms to meet tomorrow's commercial challenges. What You'll Do Design and develop advanced algorithmic models for dynamic pricing strategies, revenue forecasting, and cost optimisation Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real‐world impact Conduct research on airline … learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time‐series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background ...

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 handy 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. Qualifications: Python Proficiency: Strong Python skills with experience ...

prescriptive products that change how we run our Houses and serve our members, from predicting member churn and personalising what members see, to forecasting demand so our Houses are staffed well. You'll take models from idea to production and keep them performing, always looking for new ways … design, build and continuous improvement of Soho House's ML portfolio, including member churn and segmentations, personalisation and recommendation engines (e.g. events), and demand forecasting for labour and operational planning Frame business problems with stakeholders, pick the right approach (which may not always be ML), and set clear success ...

allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product and engineering teams to define API contracts, data models … Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutions. Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures. Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring ...

calibration and guardrails that make a recommendation defensible enough to send to a customer. What you'll do Design, train and ship forecasting and recommendation models against real carrier rate, capacity and booking data. Build the confidence and explainability layer so every recommendation carries its rationale and a confidence … business impact over model elegance. Clear written and verbal communication — you can explain a recommendation to a commercial team. Nice to have Experience with time-series forecasting, pricing or demand models. Exposure to logistics, shipping, travel or other yield-managed industries. Comfort working directly with customers during ...

develop scalable functional analytic capabilities that seamlessly integrate into Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start … forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable ...

scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross-validation. Experience developing and implementing end to end observability ...

modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine‐tuning proprietary and open‐source Large Language … rigorous testing, code reviews, and CI/CD pipelines. Strong hands‐on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure ...