1 to 25 of 160 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 ❯

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 ❯

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 ❯

data accuracy and integrity. Lead data collection and migration across systems, delegating tasks as needed. Present insights and strategic recommendations to senior stakeholders. Apply advanced techniques (e.g. forecasting, modelling, time series analysis) to identify trends. Collaborate with stakeholders to gather requirements and deliver findings. Mentor and support Data Analysts, building team capability. Work with Microsoft 365 and … deliver enterprise-level analytics. Understand and apply API functions. Proficient in analytical techniques such as network analysis, data matching, and text analytics. Strong grasp of data structures, modelling, cleansing, and standardisation. Skilled in communicating insights through visualisations and reports. Experience leading analytics projects and demonstrating business value. Proficient in SQL, R, and/or Python, with experience using Power … Overview: Generous Pension : Employer contribution of 28.97%. Annual Leave : 25 days, rising to 30, plus 8 public holidays and the King’s Birthday. Flexible Working : Options include full-time, part-time, flexi-time, compressed hours, and job sharing. Hybrid Model : Minimum 60% office-based, 40% remote. Learning & Development : Role-specific training, professional accreditations, and funded qualifications More ❯

a data platform for Masdar’s London managed projects with a key ambition to set up a BESS Operations Control Desk. This desk will be responsible for the monitoring, analysis & scheduling of all assets and act as the key interface between all stakeholders (Masdar, O&M contractors, DNO, OEM and Optimiser). The Data Scientist will play a pivotal … and dashboards. Document control management. Collaborate with the Masdar Control Desk to identify key performance indicators (KPIs) and areas for improvement: Support the Control Desk in their data and analysis needs to optimise battery availability and state of health. Creation and continued refinement of key dashboard tools used for portfolio management. Automate Battery scheduling and technical reporting Work with … on work to implement our BESS Cyber Security Policy, and Cyber Security in OFSW as appropriate Support on progressing towards full CAF and ENA DER Compliance. Asset Management data analysis and performance optimisation : Provide data-driven recommendations to enhance asset efficiency, reduce asset downtime and maximize commercial performance. Create intuitive dashboards and visualizations to communicate insights to stakeholders, including 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 ❯

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 ❯

Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000/year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in … early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible … be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it 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 ❯

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 ❯

optimization and strategic decision-making. Qualifications and Skills Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related fields. Experience with data visualization tools (Tableau, Power BI), time-series analysis, machine learning, SQL, and cloud platforms. Strong analytical, problem-solving, communication, and teamwork skills. Passion for renewable energy and sustainability. Additional Information Applicants must be More ❯

intelligence powering our detection and monitoring systems. Job responsibilities: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between data and the business, collaborating … 4+ years of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML … experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

financial industry regulations, such as Basel III, Solvency II, MiFID II or the EU AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI … tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insurance Nice … to have Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field Expertise in stress testing models, scenario analysis and portfolio optimization We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme More ❯