12 of 12 Remote Time Series Forecasting Jobs in the UK

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 … 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 More ❯

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 More ❯

the biggest employer in Nottingham with over 19,000 staff Main area Data Science and Data Analysis Grade Band 7 Contract Permanent Hours Full time Flexible working Home or remote working 37.5 hours per week (Hybrid working: 2 hospital sites + working from home) Job ref 693 Site Queen … public (we work mainly in R and python). NUH is a large acute trust (you can see our ED at work in recent series of "24 Hours in A&E"), and we are a data team well-connected to our senior decision-makers. There will never be less … other relevant field Professional registration with relevant body (e.g. AphA) Experience Experience of applying Data Science techniques to real-world datasets (e.g. Machine Learning, Time Series Forecasting, Statistical Modelling, ). Experience of developing and maintaining code using Python, R, or similar Experience of using Git to collaboratively More ❯

communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with … private healthcare, and wellbeing initiatives. How to Apply Apply now by submitting your CV and I’ll be in touch to arrange a convenient time with you to discuss the role and your career aspirations. More ❯

communicate complex findings effectively. Desirable Skills Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications. Familiarity with time series forecasting, anomaly detection, or deep learning techniques . Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking. Experience with … private healthcare, and wellbeing initiatives. How to Apply Apply now by submitting your CV and I’ll be in touch to arrange a convenient time with you to discuss the role and your career aspirations. More ❯

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 … 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 More ❯

usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind … all the time and suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and More ❯

a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to … AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and … Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Requirements Python Proficiency: Strong Python skills with More ❯

Preferred Requirements Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives. Experience in applying modelling techniques e.g. time series forecasting, segmentation/clustering, anomaly detection. If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech More ❯

in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in every area isn't expected, you should have a broad awareness of available techniques and tools, and understand More ❯

the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred More ❯

the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred More ❯