1 to 25 of 27 Time Series Analysis Jobs in England

Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing … with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning ...

lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts … algorithms Deep understanding of Statistical/Probabilistic programming and Linear Algebra Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis Have in depth understanding of statistical modelling/ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time ...

Excel, SQL, Power BI and Power Platforms. Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy devising new reporting … base salary is between £48,000 - £50,000 (DOE) + Bonus + Broad Corporate Benefits. Key Role Purpose & Responsibilities Develop and provide detailed analysis and insight into operational performance variances at both macro and micro levels. Conduct detailed performance analysis of both ‘cost and service’ drivers to identify ...

supervise junior team members and interns. You will; Design and improve deep learning and related machine learning forecasting models for large‐scale retail time series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance … reliable, scalable, and deliver measurable business value. We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project ...

tools that power our commodities trading. You will work directly with traders and quants to turn ideas into production-grade quant trading tools, fundamental analysis models, and analytics, and you will own them from prototype through daily use. Job Responsibilities: Work alongside traders, quants and other engineers to build … signal research, backtesting frameworks, and strategy monitoring Develop and productionize fundamental models for energy markets, such as supply/demand balances, inventory and flow analysis, and curve and spread models Build analytics and visualization tools that give traders clear, timely views of markets, positions, and PnL drivers Design data ...

evolve ambitious prototypes into a rock‐solid, scalable platform What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines … over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing ...

value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment ...

work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your … environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk. A&R has a unique vista point in the firm … team-oriented communication skills. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis ...

outputs into actionable insights through impactful data visualisations. Add to our existing web apps to deploy these visualisations and allow stakeholders to explore model & analysis outputs. Other: Executes additional tasks as required to meet the FA's changing priorities. Comply with all company policies and procedures to ensure … related field with demonstrable data science experience. Experience in the fundamentals of data science, including but not limited to: Data visualisation Exploratory Data Analysis Data Wrangling Feature Engineering Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled ...

large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java . Experience within data science, quantitative analysis or statistical modelling . Strong analytical and problem-solving abilities. Excellent attention to detail and numerical accuracy. Strong communication skills and the ability … inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine interest in data-driven decision making ...

Data Science & Machine Learning: Proven expertise in a wide range of data science methodologies, including statistical modelling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis). Modelling Specialisation: Demonstrable hands-on experience in specific techniques relevant to media and marketing, such as propensity modelling, attribution … celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

stakeholders, and mentor and supervise junior team members and interns. Designing and improving forecasting and statistical modelling solutions for large-scale retail and business time series. Blending data from multiple sources to explain historic behaviour and generate forward-looking predictions and scenarios. Building robust training, validation and backtesting pipelines … including time-aware evaluation, leakage controls and stability checks. Applying best practices for productionisation, including monitoring, retraining strategies, and performance and cost considerations. Collaborating closely with engineering, product and business partners to ensure models are reliable, scalable and deliver measurable business value. We are looking for ambitious individuals with ...

supervise junior team members and interns.You will be responsible for• Designing and improving forecasting and statistical modelling solutions for large-scale retail and business time series.• Blending data from multiple sources to explain historic behaviour and generate forward-looking predictions and scenarios.• Building robust training, validation and backtesting pipelines … including time-aware evaluation, leakage controls and stability checks.• Applying best practices for productionisation, including monitoring, retraining strategies, and performance and cost considerations.• Collaborating closely with engineering, product and business partners to ensure models are reliable, scalable and deliver measurable business value.You will needWe are looking for ambitious individuals ...

retrieval, and tool-execution steps Show familiarity with knowledge graphs, multimodal models, fine‐tuning, synthetic data, or advanced model‐evaluation techniques Apply experience with time‐series analysis, forecasting, and quantitative research Hold or be progressing toward the CFA designation #J-18808-Ljbffr ...

workflows, ensuring we stay at the forefront of the industry. Responsibilities Develop ML models for various financial market regimes, forecasting, event risk assessment, sentiment analysis, and market classification. Construct LLM/RAG/tool-calling agents to enhance market intelligence and streamline client workflows. Oversee model evaluation, backtesting, hallucination … development and deployment of ML models and AI agents. Qualifications Strong proficiency in Python, with a solid understanding of ML fundamentals, including classification, clustering, time series analysis, and regime detection. Hands-on experience with LLM/RAG/agent technologies, demonstrating a track record of shipping models ...

techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

across liquid and illiquid assets, asset allocation and portfolio optimisation. Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office ...

build models, strategies, and systems that price and trade financial instruments. You will work with experienced researchers who mentor on experiment design, data generation, time series analysis, and feature engineering for financial datasets. The role emphasizes applying various statistical and ML techniques, from linear models to deep ...

side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet ...

clients' needs. The role is very hands‐on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards using … that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Key responsibilities Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

seeking a candidate to own rigorous backtesting processes, validate strategies, and ensure robustness of results on real market data. The role emphasizes precise time-series analysis, volatility modeling, and reproducible workflows using Python tooling. The ideal hire will demonstrate independence, a track record of walk-forward validation … comfort with complex market dynamics, including derivatives exposure. This is a permanent, full-time UK position. #J-18808-Ljbffr ...

learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers … Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured ...