1 to 25 of 78 Remote 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a traveler’s propensity to book Time series forecasting As a part of the Science and Optimization team, we deliver through the full data product life-cycle: from prototyping to production development to A … Competitive compensation packages, stock options offered to every employee, Bonusly program to reward and recognize team wins and performance, plus employees can take up to 40 hours of paid time per year to volunteer and give back to the community Flexibility: Flexi-Friday benefit, hybrid or remote work options for most roles, time-zone friendly work hours with … and increase long-term growth, customer loyalty and profitability. Our customers include hotels, attractions and tourism boards, and they use the power of machine learning, data science and real-time traveler data in Sojern’s products to build direct relationships with travelers across social, mobile and the web. Now, more than ever, our thousands of customers rely on Sojern More ❯

Data Scientist - Time Series Forecasting Data Scientist - Time Series Forecasting Get AI-powered advice on this job and more exclusive features. This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from … Harnham Senior Consultant - AI, Machine Learning and Data Science Contract Data Scientist - Time Series Forecasting Duration: 6 months Rate: £600-700/day (Inside IR35) Location: Hybrid - 1-2 days/week in Central London We're hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project … is fully scoped and delivery-focused; you'll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance. Key Responsibilities Contract Data Scientist - Time Series Forecasting Duration: 6 months Rate: £600-700/day (Inside IR35) Location: Hybrid - 1-2 days/week in More ❯

team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our … At Jet2.com and Jet2holidays , your potential has no limits. Apply today and let your career take flight! Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Airlines and Aviation Referrals increase your chances of interviewing at Jet2.com and Jet2holidays by 2x Get notified about new Senior More ❯

professionals. Senior Data Scientist Responsibilities: Partner with engineering and technology teams to identify opportunities for applying data science techniques to deliver measurable business value. Develop and deploy predictive models, time-series forecasting, and natural language processing solutions to address real-world operational challenges. Design and implement scalable data pipelines and frameworks to ensure data quality, accuracy, and … and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Technology, Information and Internet #J-18808-Ljbffr More ❯

Data Science techniques can add significant value, collaborating with and enthusing our stakeholders. You will: Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our More ❯

advanced AI and machine learning models that help optimise operations, increase efficiency, and deliver smarter insights to inform key decisions across the business. You'll tackle projects such as forecasting passenger spend, optimising driver routes and the use of car park space, and using AI to monitor alternative data channels like CCTV and social media. You'll also support … science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation. You'll have a proven ability to work with cross-functional teams and communicate complex insights clearly to More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our More ❯