1 to 25 of 46 Time Series Analysis Jobs in England

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 ...

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 ...

Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings. We are seeking … appoint a creative and enthusiastic individual who will lead on computational data analysis projects that interrogate the mechanisms behind hormonal rhythm misalignment. The research will be closely integrated with mathematical models that predict dynamic responses to perturbations (e.g., stressors, sleep disruptions, diagnostic tests), as well as the long‐term ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … MATLAB, C++ or Java preferred. Working knowledge of relational databases (Oracle, Postgres, Snowflake) and version control tools (Git). Solid understanding of statistics, time series analysis, and financial derivatives pricing and risk management. Ability to work under pressure in a high-performance environment with tight deadlines. Excellent ...

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 ...

index arbitrage, and merger arbitrage strategies. The team is involved in research on topics including equity portfolio analytics, factor/factor model research, and analysis of best practices in the portfolio construction/investment process. The Senior Quantitative Researcher, PM Engagement, is responsible for working with equity … their risk taking and improve their profitability and scalability. The researcher will be expected to contribute to the development of quantitative models for the analysis of portfolio risk & performance for strategies, including alternative equity strategies. Leveraging his or her excellent communications skills and deep understanding how investment process, portfolio ...

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 ...

space that underpins cloud cost transparency, allocation, forecasting and optimisation. This is a hands-on role, working at the intersection of data engineering, financial analysis and cloud economics. You will analyse billing, usage and telemetry data across public cloud and SaaS providers, build models that turn this data into … Develop unit economics and cost driver analytics that link cloud spend to business and technical demand metrics. Build forecasting, budget-to-actual and variance analysis models for cloud consumption, and investigate and explain the drivers of deviations. Model commitment portfolio economics for Reserved Instances, Savings Plans, committed spend agreements ...

team. As a Lead Data Analyst, you'll drive analytics within a dedicated customer operations model where we improve how we resolve complex and time‐sensitive customer issues—speed, reliability, quality, and end‐to‐end outcomes—and scale what works across our wider Operations teamsMost importantly, you'll collaborate … servicing interventions at scale. Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. Causal Inference and Quasi-Experimental Analysis. Develop robust approaches to cause ...

Description SummaryThe Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape … description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions ...

statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work spans the full lifecycle of algorithmic trading — from research into price formation and liquidity dynamics, through model development and back … execution algorithms (e.g., VWAP, Participate, adaptive/liquidity‐seeking strategies) for cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market ...

Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

identify new data sources, metrics, and commercial opportunities Evaluating new datasets and assessing their quality, reliability, and business value Applying statistical techniques including time series analysis, hypothesis testing, correlation analysis, and data validation Developing frameworks and standards for dataset evaluation and valuation Improving the speed, consistency ...

teams to productionise models and ensure robustness and scalability while supporting voice trading analytics What we’re looking for: Excellent quantitative skills in data analysis Master’s or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field Strong verbal and written communication skills Experienced idea … internally and externally Familiarity with statistical modelling, regression techniques, and core machine‐learning concepts Proficiency in Python or another programming language used for data analysis Knowledge of Q/KDB+ Time series analysis Experience with electronic trading Experience with foreign exchange or Interest Rates markets. Certified ...

amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Ingesting data from multiple external vastly different sources at hundreds … rich data points per second, moving terabytes of data while processing it in real time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used ...

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 ...

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 ...

equity research, creating models, tools and dashboards that generate actionable investment insights. Partner with Portfolio Managers to monitor portfolio performance, risk and exposures, providing analysis that supports informed investment decisions and effective portfolio management. Build and enhance datasets, analytical tools and reporting capabilities, driving continuous improvement in data management … technology and the adoption of innovative solutions, including AI. Produce clear and impactful analysis, reporting and presentations for both technical and non-technical audiences. Collaborate across Investments, Trading, Risk, Compliance, Technology and Operations, contributing to a culture of knowledge sharing, innovation and strong governance. This role is classified ...

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 ...

hybrid) Salary: £40,000 to £42,000depending on experience plus £2000 per annum personal development budget ContractType: Fixed Term(36 months) Basis: Full Time ClosingDate: 23.59 hours BST on Sunday 11 October 2026 InterviewDate: Monday 26 October 2026 Reference: 1368-26 ReleaseDate: Friday 25 September 2026 About this role … demonstrate project experience in a technically demanding area. Skills and experience required for this exciting role include: Demonstrable experience in software tools for data analysis, such as SQL, Power BI, and cloud-based analytics environments Feature extraction and time-series analysis Probabilistic prediction techniques using scalable ...

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 ...