1 to 25 of 64 Time Series Analysis Jobs in the UK

policies for full detailsYou 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 … deliver measurable business value. You will need: We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis or broader forecasting and probabilistic/statistical modelling. A proven track record of designing and modifying advanced algorithms and applying them ...

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 ...

Apple App Store Awards. About the role This role will report to the Commercial Planning Manager and support commercial planning, forecasting, latest estimates, statistical analysis and performance modelling. You'll help develop the analytical insight that underpins commercial decisions by combining business understanding with statistical techniques, causal analysis and AI-assisted workflows. You’ll help make sure the team has the right data, reporting and analysis needed to understand business performance and make better decisions. The Commercial Planning Manager will own the overall planning rhythm, including budgeting, 4+8 forecasting, monthly latest estimates and commercial deep dives. ...

that work. Working with the Principal Investigator, the postholder will apply specialist scientific knowledge and independent investigation to the capture, structuring, visualisation and analysis of marine mammal strandings and pathology data, making a leading contribution to the scheme’s research outputs, publications, funding applications and collaborative activities. At Grade … development of the SMASS strandings database, necropsy portal and sample archives, overseeing the BeachTrack mobile application and its supporting data infrastructure, and producing the analysis, visualisations and outputs required for reporting, outreach and communication. The second is providing technical input to the LIFE CIBBRiNA project, scoping a harmonised ...

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 ...

accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part‐time working patterns across our many business areas, which meansthat we can find something that works for you. We work in a more blended … will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability checks). Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations). Collaborate closely with engineering, product ...

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 ...

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 to unlock ...

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 ...

development best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.Strong data visualization and exploratory data analysis skills.Ability to translate complex analytical concepts into clear, actionable insights.Strong collaboration and communication skills across multidisciplinary teams.Fluency in English (oral and written).This … disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO ...

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 ...

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 ...

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-impact ...

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 ...

applying AI to low molecular weight drug discovery.Contribute to the conceptualization of AI methods and their applications for hit generation, lead optimization, pre-clinical analysis, including safety and PK/PDDevelop, adapt and evaluate state-of-the-art AI/machine learning models, including foundation models, generative AI, multimodal … 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: Cambridge (USA)Type: Full time ...

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 ...

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. http://www.vortexa.com/Ingesting data from multiple external vastly … different sources at hundreds of 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 ...

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 ...

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 vantage 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 ...