1 to 25 of 112 Time Series Analysis Jobs in the UK

and Models Ensure IWSR’s forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. … and modelling approaches align with key business objectives and analytical use cases. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with cross-functional teams to implement long-term solutions. Skills & Experience: Experience Over 3 years-experience in delivering Data Science projects … using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience Analytical skills Analytical skills using software packages Python, SQL along with Excel A passion for innovation and problem-solving, with the ability to think More ❯

and Models Ensure IWSR's forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. 2.Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. … modelling approaches align with key business objectives and analytical use cases. 6. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with cross-functional teams to implement long-term solutions. Skills & Experience: 1. Experience Over 3 years-experience in delivering Data Science … projects using Python programming language, statistical and machine learning techniques, time series analysis and data visualisation and insight analysis. 2. Qualifications A Degree in Data Science, Computer Science, a related field or relevant professional experience 3. Analytical skills Analytical skills using software packages Python, SQL along with Excel A passion for innovation and problem-solving, with the More ❯

You'll work alongside our skilled team of engineers and machine learning experts, directly contributing to next-generation capabilities that enable our users to automate their PAI collection and analysis workflows. This role is crucial to our mission of making the world safer by empowering the human mind with the right information at the right time. Scope of Work … Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content. Analyze data to identify patterns and insights that can enhance our platform's capabilities. Research and evaluate algorithms for information discovery from publicly available sources. Design advanced search and recommendation capabilities. Create and refine machine learning models for risk identification and pattern detection. … Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. Experience with NLP techniques for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar). Strong analytical mindset with More ❯

unprecedented volumes of data. We 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 role, you will partner with … AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock business value. Demonstrable experience in … principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 5 consecutive years, to see what it's like to work at More ❯

working on: Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through … models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. How Will You … using statistical packages. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Professional experience in marketing science, ideally within the ad-tech sector. Comfortable balancing multiple projects simultaneously and effectively prioritizing work More ❯

strong analytical skills, an aptitude for data and insights translation and the ability to work across different functional stakeholders. The ideal candidate will have experience in data visualization, statistical analysis and problem-solving, coupled with the ability to communicate findings to stakeholders in a clear and actionable way. The role will engage with key stakeholders across sales, marketing, integrated … one will lead Corporate & Specialty and one will lead Enabling Functions. Key Responsibilities Analytics and Insight Generation Gather, clean, and organize large and complex datasets from various sources. Perform analysis to identify patterns, correlations, and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing … experience in analytical and decision support roles providing insights to senior commercial decision-makers. Relevant areas include Commercial Analytics, Business Intelligence, Field Force Effectiveness and/or Financial Planning & Analysis Demonstrated experience in identifying commercial priorities and then architecting, building and deploying business analytics and intelligence platforms (Tableau, PowerBI, etc. )to create business value, preferably in sales and marketing More ❯

working on: Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through … models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. How Will You … a quantitative field. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. Excellent verbal and written communication skills, with More ❯

that includes health, life and 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. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training … nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $93,800.00 - $174,200.00 Skills Desired Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming … Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering More ❯

Principal Machine Learning Scientist - Time Series Expert Join to apply for the Principal Machine Learning Scientist - Time Series Expert role at intelmatix Continue with Google Continue with Google Principal Machine Learning Scientist - Time Series Expert 2 days ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Scientist - Time Series Expert role at intelmatix Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with … cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate Job Overview Join our team as a Principal Machine Learning Scientist, with a special focus on time series analysis. This pivotal role merges cloud infrastructure, DevOps practices, and advanced machine learning to automate and deploy sophisticated computational models tailored for time series data More ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights … responsibly. As an Applied AI ML 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 community. We are looking … highly collaborative environment, working together 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 and Econometrics with hands-on implementation More ❯

competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative … data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is … to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst Industries Information Services Referrals increase your chances of interviewing at Women in Data by 2x Sign in to set job alerts for “Data Scientist More ❯

to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and More ❯

to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and More ❯

to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working in cross-functional teams and More ❯

a master’s level qualification (or equivalent experience)inone of the following fields: Computer Science Statistics Finance another quantitative field with a substantial statistics component (for instance, knowledge of time series analysis, probabilistic forecasting and statistical modelling). Advanced, production-level,R coding skills including R Shiny, R Markdown and other relevant packages and frameworks. Experience in … remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Information Services Referrals increase your chances of interviewing at Argus Media by 2x Get notified about new Data Scientist jobs More ❯

preprocessing, and feature engineering to ensure high-quality inputs for modeling. Apply advanced data science methodologies to derive insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical modeling to support business strategies. Train, evaluate, and optimise machine learning models using frameworks such as TensorFlow or PyTorch. Lead and mentor junior data … as TensorFlow, PyTorch, and data libraries like NumPy, pandas, scikit-learn. Skilled in data wrangling, preprocessing, and managing large-scale datasets. Solid understanding of statistical modelling, predictive analytics, and time series analysis. Experience with data visualisation tools like Matplotlib, Seaborn, or Tableau. Salary: £525 per day #J-18808-Ljbffr More ❯

responsibly. As an Applied AI ML 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 community. We are looking … highly collaborative environment, working together 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 and Econometrics with hands-on implementation … conferences, experimentation and participating in our knowledge sharing community. Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems. Collaborate with multiple partner teams such as Business More ❯

job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: GBP 110,000 - GBP 130,000/year Description At Field, we have developed Gaia, an automated energy trading platform. Since … Develop algorithms for trading, forecasting, and revenue co-optimization across multiple markets Manage live trading and physical assets, providing 24/7 support Deploy and maintain mission-critical real-time software Inform and override algorithms in volatile market conditions Present trading results to senior management Identify gaps in trading strategies through backtesting and competitor analysis, then improve them … are encouraged to apply. Essential Skills Experience with UK or European power markets Development and deployment of algorithmic trading strategies Data-driven decision making Proficiency in Python for data analysis, visualization, and manipulation Effective communication of complex topics Strong knowledge of probability and statistics Desirable Skills Additional expertise in the following areas is a plus: European power markets (Germany More ❯

approaches and algorithms (e.g. LSTM, Markov-Chain Models etc) Advanced understanding of Statistical/Probabilistic programming and Linear Algebra Be proficient in (Python, 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 Series pattern detection … and ML methods) Experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation Good experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively More ❯

to solve even their most intractable physics problems. We’ve doubled in size over the last four years, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth, we are recruiting a Senior Forward Deployed Data Scientist for our Data Science Team. What you can expect as a Senior Forward Deployed Data … Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You’ll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you’ll tackle challenges in ML generalization, guide clients on model performance, and influence product improvements. While focused … opportunities where custom solutions can be generalised into reusable platform components You are an expert at analysing trade-offs and making pragmatic technical decisions that balance solution sophistication against time-to-value You have the ability to assess multiple technical approaches and select solutions that align with both immediate customer needs and long-term platform evolution For this role More ❯

to solve even their most intractable physics problems. We've doubled in size over the last four years, and we have ambitious plans moving forward. It's an exciting time, and to continue our growth, we are recruiting a Senior Forward Deployed Data Scientist for our Data Science Team. What you can expect as a Senior Forward Deployed Data … Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You'll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you'll tackle challenges in ML generalization, guide clients on model performance, and influence product improvements. While focused … opportunities where custom solutions can be generalised into reusable platform components You are an expert at analysing trade-offs and making pragmatic technical decisions that balance solution sophistication against time-to-value You have the ability to assess multiple technical approaches and select solutions that align with both immediate customer needs and long-term platform evolution For this role More ❯

research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment. Key Responsibilities Design and develop robust, high-performance systems for AI/ML model development and deployment. Collaborate with quantitative researchers to translate trading strategies into production … ready code. Build and maintain data pipelines for structured and unstructured financial data. Implement backtesting frameworks and simulation environments. Optimise model inference and execution latency for real-time trading. Contribute to architectural decisions and technology stack selection for the greenfield platform. Required Skills & Experience Strong programming skills in Python, with experience in production-grade systems. Solid understanding of machine … learning workflows, including model training, validation, and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation (Docker, Kubernetes). Proficiency with data engineering tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund More ❯

feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model … Preferred Experience: Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy More ❯

kernels and GPU profiling is a plus. Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences. Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. … flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at AGITProp by 2x Sign in to set job alerts for “Research More ❯