1 to 25 of 29 Time Series Analysis Jobs in the UK

agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create … Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models More ❯

agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create … Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models More ❯

the globe. This role offers a chance to build models, generate insights, and work directly with real-world product and customer data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working … on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You … able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch within a growing data function Exposure to cutting-edge work in NLP, time-series analysis, and computer vision Collaborative startup environment where ideas turn into production Competitive salary - £35,000–£50,000 DOE UK-based only, Fully remote working N.B. More ❯

working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data … Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note, this role cannot offer VISA sponsorship. More ❯

working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data … Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note, this role cannot offer VISA sponsorship. More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. … ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles … Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding practices (Git, automated testing, CI/CD). Proficiency with Linux Familiarity with time-series analysis Experience in financial services Above all were seeking incredibly smart, driven people. More ❯

leads, directors, and the CTO to 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, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/… infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. 15% Collaborate Pair with back‐end & front‐end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time More ❯

leads, directors, and the CTO to 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, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/… infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. 15% Collaborate Pair with back‐end & front‐end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time More ❯

Head of Data and manage one Data Analyst. You’ll play a key role in shaping how data drives the business forward, working on areas such as: Forecasting and time series analysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders … across teams to embed data-driven decision-making This is a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or time series modelling Experience working across multiple stakeholder groups … such as operations, marketing, finance, energy Strong communication skills with the ability to simplify complex analysis A proactive mindset and comfort working in a smaller, fast-moving environment Experience managing or mentoring junior analysts is highly desirable BENEFITS The successful Senior Data Analyst will receive a salary between £70,000 and £80,000, alongside a comprehensive benefits package and More ❯

Head of Data and manage one Data Analyst. You’ll play a key role in shaping how data drives the business forward, working on areas such as: Forecasting and time series analysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders … across teams to embed data-driven decision-making This is a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or time series modelling Experience working across multiple stakeholder groups … such as operations, marketing, finance, energy Strong communication skills with the ability to simplify complex analysis A proactive mindset and comfort working in a smaller, fast-moving environment Experience managing or mentoring junior analysts is highly desirable BENEFITS The successful Senior Data Analyst will receive a salary between £70,000 and £80,000, alongside a comprehensive benefits package and More ❯

report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and time series modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or time series analysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯

report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and time series modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or time series analysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available Locations: London, UK About the Team Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats … patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly enhance our Cloudforce One offering by transforming raw data into critical, real-time threat intelligence, providing unparalleled protection and actionable insights to our customers. If you are passionate about applying sophisticated data science to solve complex cybersecurity challenges at an unprecedented scale … scalable threat detection models. Partner with threat intelligence analysts to understand emerging attack techniques and leverage data to develop novel detection strategies and expose findings. Perform in-depth data analysis to identify trends, relationships, and anomalies within vast security datasets. Develop, validate, and refine statistical and machine learning models for threat detection and intelligence generation. Monitor the performance of More ❯

a cloud environment (e.g., Azure, AWS, GCP). Technical Skills: Expertise in Python and its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. Experience with Docker and Kubernetes for containerization and orchestration. Proficiency with modern version control systems (Git). Familiarity with common data sources … and types within the energy sector (e.g., SCADA data, seismic data, well logs, sensor data from IoT devices, real-time operational metrics). Desirable Skills (Nice to Have) Experience with Microsoft Azure and services like Azure Machine Learning. Knowledge of time-series analysis and spatio-temporal modeling techniques. Familiarity with geospatial data processing and visualization. Experience More ❯

Analytics). • Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). • Understanding of distributed computing concepts and big data technologies. • Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries • Make an impact – Drive More ❯

Analytics). • Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). • Understanding of distributed computing concepts and big data technologies. • Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries • Make an impact – Drive More ❯

and report templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … and clarity Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at More ❯

and report templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … and clarity Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at More ❯

Job description Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to … related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large More ❯

Hybrid, 3 days WFO Contract duration: 12 Months Location: London Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement … related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large More ❯

Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models, and other tools to surface commercial … related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques, including regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience in manipulating and analysing More ❯

LLMs and social sciences. This project is an excellent opportunity for a motivated young researcher to learn and gain extensive experience in applied epidemiology, animal health surveillance, syndromic surveillance, time series analysis/modelling, event detection algorithms, AI, LLMs and social sciences. Qualifications and experience required: Essential A PhD degree in epidemiology, residency in the European College More ❯

AI Engineer – Health Tech Location: London (Hybrid) Type: Full-Time | Level: Mid–Senior Salary: Competitive + Equity Options We're working with a fast-growing start-up on a mission to transform the way people train through intelligent, personalised coaching. Backed by top investors and elite athletes, they're building the future of fitness - and we’re looking for … In this role, you'll develop and deploy cutting-edge AI systems that help thousands of runners train smarter, stay motivated, and reach their goals. You’ll work across time-series analysis, reinforcement learning, and recommendation systems to bring true personalisation to our coaching engine. What You’ll Do: Design and deploy ML models Work closely with More ❯