1 to 25 of 123 Time Series Forecasting Jobs in the UK

strategies for identifying drift; retrain or refine models as needed. • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. • Stay updated on the latest advancements in AI/ML and data science technologies. • Lead and mentor More ❯

processing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models (nice to have skill) to drive business decision-making. Train, evaluate, and optimize models using statistical techniques Key Skills: 5+ years of More ❯

strategies for identifying drift; retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Lead and mentor More ❯

number 02031552100 with the subject line: “Application Support Request”. Role: AI/ML and Data Science Developer Job Type: Permanent Number of hours: 40 hours per week – full time Are you looking for an exciting opportunity as an AI/ML? Are you passionate about Data Science? We have an exciting role for you - AI/ML and … preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain More ❯

and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Train, evaluate, and optimize AI/ML models using statistical techniques. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in data science technologies. Lead and mentor junior team members. Develop More ❯

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ More ❯

ll Be Getting Up To Analyse customer energy consumption data to identify trends, behaviours, and opportunities for new products or services. Develop predictive models for customer usage patterns, consumption forecasting, and energy demand management. Explore and evaluate opportunities within traded and flexibility markets, providing data-driven insights to support new commercial strategies. Identify and define customer segments based on … experience (retail or wholesale) with deep knowledge of market dynamics, regulatory frameworks, and pricing structures. Proven track record in data science and advanced analytics, with experience in statistical modelling, forecasting, and optimization. Strong proficiency in Python, SQL, and cloud-based data platforms (mainly Google Cloud and AWS). Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, XGBoost). … Strong stakeholder management skills, with the ability to communicate findings to non-technical teams and influence business strategy and commercial outcomes. Hands-on experience with pricing models, demand forecasting, or churn prediction in an energy or utilities setting. Experience in automating pricing and customer segmentation strategies. Familiarity with time-series forecasting, reinforcement learning, or Bayesian modelling. More ❯

and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI …/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker Pipelines. Monitor model performance over time and manage retraining to mitigate drift. Business Insights & Decision Support Communicate analytical findings to key stakeholders in clear, actionable terms. Provide data-driven guidance to inform product strategies and business initiatives. Ethical AI & Governance Ensure compliance with regulations (GDPR) and … based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr More ❯

Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies and validate hypotheses. Strategic Performance Analysis More ❯

is a global strategy consulting firm that addresses the most critical commercial issues for the leaders of some of the world's most successful businesses. Clients come to us time and again because we are proven to act as an insightful expert and a trusted partner. We are uncompromising in our approach to help clients make better decisions at … of industries, including Life Sciences and healthcare, retail and consumer, financial services, industrials, energy and transportation. The Associate (Data Scientist) role As an Associate (Data Scientist) you split your time roughly 50:50 between: Case delivery - embedded in consulting teams to solve live client questions with data science and advanced analytics; and IP & capability build - designing, building and shipping … Deliver end-to-end analytical work-streams : data scoping, modelling, insight generation, presentation Build, test and document production ready ML models -from gradient boosted trees to GenAI and timeseries forecasting-packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users can explore results intuitively Turn insights into actionable recommendations More ❯

Title: Data Scientist Location Options: Scottsdale, AZ Stamford, CT Wakefield, MA Las Vegas, NV Job Type: Full Time Exempt Who You Are: As a Data Scientist at Curaleaf, you'll play a critical role in shaping the future of the cannabis industry through data-driven insights. We're looking for a results-oriented professional with expertise in time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models to predict demand, sales, and … inventory using advanced techniques like Prophet and LSTM. Analyze complex business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross-functional teams to provide data-driven recommendations. Use data visualization to communicate results to non-technical stakeholders and stay current on forecasting trends, particularly within the cannabis industry. More ❯

of passionate engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets … such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments … help in adjusting the predictive models to account for recurrent issues. 4. Route Optimization: Use data analytics to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic More ❯

Principal Machine Learning Scientist - Time Series Expert Join to apply for the Principal Machine Learning Scientist - Time Series Expert role at intelmatix Principal Machine Learning Scientist - Time Series Expert 1 day ago Be among the first 25 applicants Join to apply for the Principal Machine Learning Scientist - Time Series Expert role at … 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 … across diverse industries. You'll lead the development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time More ❯

eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create … production monitoring and optimisation Designing and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering best practices including unit … technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale A/B test experiments More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze the impact of availability levels on revenue and order volumes using statistical and predictive techniques. Create automated pipelines for monitoring performance of buying policies and flagging anomalies … dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with More ❯

developing end-to-end solutions that increase efficiency through automation or increase the quality of our offering to clients. Your role will be wide in scope allowing plenty of time for independent thinking and exploring solutions through exploratory data analysis as well as Data Science feature development for our Saas WARC product, working closely with product managers and software … some recent projects we have worked on include the following: AI Assistants for all our brands utilising advanced RAG applications based on LLM architectures. A hybrid LSTM and Prophet time series forecasting model for advertising expenditures, capturing long-term and short-term trends, at the country, product category and advertising medium level on a quarterly basis. A … cohort-based, collaborative filtering system (user-content matrix) for real-time, personalized content recommendations in customer and prospect marketing emails as well as customized home page experience. Key Responsibilities Partner with Business Managers (i.e. stakeholders)) to align on requirements and develop both recurring and ad hoc reports to meet client needs, particularly the Chief Digital Officer, Director of Data More ❯

different business functions (e.g., operations, finance, product, etc.) to understand key challenges and provide data-driven solutions. Develop, test, and implement machine learning models such as regression, classification, and time series forecasting. Conduct deep analysis on large datasets to uncover trends, patterns, and actionable insights. Collaborate with technical and non-technical teams to translate data science solutions into … TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau More ❯

different business functions (e.g., operations, finance, product, etc.) to understand key challenges and provide data-driven solutions. Develop, test, and implement machine learning models such as regression, classification, and time series forecasting. Conduct deep analysis on large datasets to uncover trends, patterns, and actionable insights. Collaborate with technical and non-technical teams to translate data science solutions into … TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau More ❯

Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical skills : Ability to interpret complex More ❯

university in a quantitative discipline (Master's preferred) Based in London and able to attend the client site 2 x per week. Nice-to-Haves: Experience with geospatial modelling, time series forecasting, or operational optimisation DBT Interviews are taking place this week. Start ASAP. Please email Contract Senior Data Scientist/ML Engineer £600-800/day … university in a quantitative discipline (Master's preferred) Based in London and able to attend the client site 2 x per week. Nice-to-Haves: Experience with geospatial modelling, time series forecasting, or operational optimisation DBT Interviews are taking place this week. Start ASAP. Please email Desired Skills and Experience Predictive Modelling, Python Machine Learning, Full ML More ❯

a culture of openness and ownership Work closely with key stakeholders on business objectives Enable collaboration by contributing to the development of our AI foundations and reusable assets for Forecasting, Optimization, Segmentation, Attribution Models and Experimentation Perform code reviews and ensure exceptional code quality Manage & mentor junior data scientists & apprentices Help building a culture of responsible AI, good governance … 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 More ❯

Data Science team comprises seven members, including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create … to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning … Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly More ❯