1 to 25 of 37 Time Series Analysis Jobs in England

continuous improvement are paramount. Your expertise will contribute to the development of a centralised data analytics framework, bridging the gap between technical data analysis and strategic business initiatives. You will be responsible for maintaining and advancing our data reporting systems, ensuring they provide a robust foundation for data-driven … enhance efficiency Reporting Automation : Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process Collaborative Analysis : Develop strong partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations, etc., to understand requirements, to support their ...

continuous improvement are paramount. Your expertise will contribute to the development of a centralised data analytics framework, bridging the gap between technical data analysis and strategic business initiatives. You will be responsible for maintaining and advancing our data reporting systems, ensuring they provide a robust foundation for data-driven … enhance efficiency Reporting Automation : Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process Collaborative Analysis : Develop strong partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations, etc., to understand requirements, to support their ...

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 ...

next level. The Role at a Glance Process Intelligence Scientist Harwell Campus, Didcot, Oxfordshire | Office-Based £45,000–£65,000 DOE Full Time | Permanent Monday–Friday, 9am–5:30pm (Some Flexibility Available) Occasional International Travel, Primarily North America Sector: Industrial Analytics | Machine Learning | Spectroscopy | Process Technology Your Background/… Skills: Python, Machine Learning, Data Science, Statistics, Predictive Modelling, Industrial Data, Process Analytics, Time-Series Analysis, Chemometrics, Process Optimisation. Candidates must already have the unrestricted right to work in the UK. The Keit Story At Keit, we're passionate about making complex industrial processes easier to understand ...

next level. The Role at a Glance Process Intelligence Scientist Harwell Campus, Didcot, Oxfordshire | Office-Based £45,000–£65,000 DOE Full Time | Permanent Monday–Friday, 9am–5:30pm (Some Flexibility Available) Occasional International Travel, Primarily North America Sector: Industrial Analytics | Machine Learning | Spectroscopy | Process Technology Your Background/… Skills: Python, Machine Learning, Data Science, Statistics, Predictive Modelling, Industrial Data, Process Analytics, Time-Series Analysis, Chemometrics, Process Optimisation. Candidates must already have the unrestricted right to work in the UK. The Keit Story At Keit, we're passionate about making complex industrial processes easier to understand ...

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 ...

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 … scalable and 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 ...

deploying deep learning or machine learning models in production environments. Experience using frameworks such as PyTorch, TensorFlow or Keras. Experience with predictive modelling, NLP, time-series analysis and model evaluation. Knowledge of information governance, clinical safety and responsible AI approaches. Person Specification Qualifications Essential Educated to degree … deploying deep learning or machine learning models in production environments. Experience using frameworks such as PyTorch, TensorFlow or Keras. Experience with predictive modelling, NLP, time-series analysis and model evaluation. Understanding of NHS policy, Integrated Care Systems, population health and healthcare transformation. Experience working with diverse internal ...

people interact with digital products. Theyre now looking to bring another Data Scientist into their team, with a particular focus on complex datasets, time-series analysis and predictive modelling. This is an opportunity to work on some genuinely interesting data problems, combining scientific research, machine learning … Exploring and analysing large-scale, complex datasets, including sensor, device and behavioural data.Developing machine learning models to identify patterns and extract meaningful insights from time-series data.Applying signal processing and statistical techniques to understand complex and potentially noisy datasets.Building, testing and evaluating predictive models using Python.Taking models from ...

people interact with digital products. Theyre now looking to bring another Data Scientist into their team, with a particular focus on complex datasets, time-series analysis and predictive modelling. This is an opportunity to work on some genuinely interesting data problems, combining scientific research, machine learning … analysing large-scale, complex datasets, including sensor, device and behavioural data. Developing machine learning models to identify patterns and extract meaningful insights from time-series data. Applying signal processing and statistical techniques to understand complex and potentially noisy datasets. Building, testing and evaluating predictive models using Python. Taking ...

Location London, in person San Francisco, in person Commitment Full-time Compensation Salary + equity Roles Every application is read and kept on file even if now isn't the right time. Right hand to two founders building a hardware, software and media company. You run the company behind … health background on the side Built or sold something of your own Built an agent or pipeline that stuck You turn raw acoustic and time-series signals from the body into things people can read and act on. This is the hard, unsolved centre of the company. ...

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 ...

friendly policies, flexible working arrangements and many roles can be suitable for dynamic working arrangement. This includes considering applications to work on a part-time, flexible and job share basis wherever possible. We are proud to be a Real Living Wage Employer—so much so that we go beyond …/2026 Application closing date 22/11/2026 Location Loughborough Package Blank Job description School of Architecture, Building and Civil Engineering Full-time (37 hours per week) Fixed-term contract; for approximately nine months Join us and be part of a vibrant community at Loughborough University. Here ...

signal decay is measured in days, not microseconds, and the traps are different from HFT but no less real* —Work with cross-sectional and time-series data across digital asset markets to identify persistent, economically grounded signals* —Build portfolio construction and risk allocation frameworks suited to multi … drift and slow decay, the kind HFT books rarely see coming and MFT books can't ignore## Requirements* —Strong grounding in statistical modelling, time-series analysis, and portfolio construction; comfort with the specific failure modes of lower-frequency strategies* —Degree (Bachelor's, Master ...

evaluation projects from hypothesis through to recommendation. Assessing the commercial value, quality, and scalability of new datasets. Developing robust methodologies for data validation, statistical analysis, and research quality standards. Working closely with data acquisition and commercial teams to assess potential data investments. Applying techniques such as time series analysis, correlation analysis, hypothesis testing, and feature engineering. Identifying new opportunities to create valuable data products and customer insights. Managing and developing members of the Data Research team while raising technical standards across the function. Driving the use of AI and advanced analytical techniques to improve research ...

Role We’re looking for a Data Scientist (Mid/Senior) to join our team. The core duty of the position will be the analysis of longitudinal healthcare datasets and development of predictive models from those datasets. The ideal candidate should have strong Python and SQL skills … infrastructure, including services such as SageMaker and Athena Nice to have Hands-on experience with dbt or a comparable data transformation framework Experience with time-series analysis, survival analysis, or longitudinal modelling Competitive salary depending on experience Private Pension Generous maternity/paternity leave Flexi working ...

plus allowance up to £6,000 per annum depending on technical assessment) Available Locations: Liverpool or Birmingham Contract Type: Permanent Hours: Full Time Closing Date: 24-11-26 Interview Date(s): W/C 9th December (subject to change) Insight into GCA - Webinar Watch our Webinar on the above … impact of functional initiatives. Key Accountabilities Project Leadership: Leading data science projects by drawing on technical and analytical standards from across Government and industry; Analysis & Insights: Scoping and leading proactive analysis and technical tasks on priority areas, creating data science products which achieve significant impact; Data Services & Pipelines ...

clients. 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 industry … into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis Technical Skills Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining ...

clients. 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 industry … into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis Technical Skills Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining ...

Agility Machine Learning (ML) Machine Learning Algorithms Neuro-Linguistic Programming (NLP) Organizational Awareness Pandas Python Library Python (Programming Language) R Programming Stakeholder Engagement Statistical Analysis Structured Query Language (SQL) Time Series Analysis Additional Information for China Candidates In the context of China Cross-Border Data Transfer ...

models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand. THE CHALLENGE Learn how predictive models look like in a betting context and build models on your … following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field. Experienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc. Very strong skills in R or python. ...

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 ...

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 ...

interpret empirical results. Financial Markets: Demonstrable interest in FX, financial markets, quantitative investing or risk management. Desirable Skills and Experience Experience with financial time-series analysis or quantitative research. Experience with agentic frameworks such as LangGraph. Understanding of RAG, graph databases or knowledge graphs. Experience with cloud ...