9 of 9 Remote/Hybrid Time Series Forecasting Jobs in London

position is to improve the scope of these forecasts and ultimately the profitability of trades.**Main Responsibilities*** Primary responsibility will be to develop other time-series forecasting models: + initially taking over existing embryonic models for meteo-to-power (mainly wind and solar) and making them more … precise and industrial; + continuously adding features as renewables become more integrated in the power system; + with time, moving on to other time-series; + making sure forecasts are error-free and delivered to traders in a timely manner.* Secondary responsibility will be helping with ...

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 ...

strategies Shape and support high-value opportunities, including pre-sales activities such as proposals and technical demos Design, develop and deploy predictive models, forecasting systems and GenAI-based solutions using frameworks like LLMs and RAG architectures Act as a liaison between business stakeholders and engineering teams to ensure solution … alignment Apply advanced analytical techniques (predictive modeling, time-series forecasting, optimization) to generate tangible business results Promote responsible AI practices in line with ethical and regulatory standards (e.g., EU AI Act) Prepare clear documentation and client-facing deliverables for analytics engagements Lead collaborative workshops and requirement-gathering ...

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 commercial … 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 plusPreferred Experience:· Background ...

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 ...

wider business leads to deliver robust data science projects and models. Sitting within the Data Science team there will be a focus on forecasting of customer trends and engagement as well as ad hoc modelling to gain additional insight from our vast customer data. This role will leverage excellent … 4+ years of experience in data science-related roles Demonstrable understanding and practical application of data science concepts with particular focus on experimentation design, time-series forecasting and causal impact methodologies Proven ability to manage multiple priorities effectively, delivering high-quality outputs with strong attention to detail ...

engagement with a global FMCG business. The role will focus on distribution and operations, using Data Science to improve areas such as logistics performance, forecasting, territory planning and operational decision-making. This is a strong opportunity for a Data Scientist with three or more years of experience … clear analytical plans. Identifying, acquiring and assessing the quality of relevant data. Using Python, SQL and Snowflake to explore and structure large datasets. Building forecasting, classification, clustering, regression and optimisation models. Developing repeatable analytical models and pipelines rather than one-off analyses. Applying experimentation and causal inference methods ...