20 of 20 Permanent Time Series Forecasting Jobs in London

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they’re using cutting-edge AI to connect users directly with renewable energy generators making clean energy more accessible … efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they're building out their team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based … time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will More ❯

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 ❯

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 ❯

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 … 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 … 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 More ❯

the place for you. Key Responsibilities Work directly with clients, presenting your findings and insights to drive decision-making. Collaborate on clustering, regression, and time-series forecasting projects to optimize product promotions. Focus on building models to assess brand performance, helping clients understand which products to promote … roles, able to communicate data-driven insights and recommendations clearly. Proficient in SQL and Python for data analysis and modelling. Strong experience with clustering, time-series forecasting, and regression techniques. How to Apply Please register your interest by sending your CV to Emily Burgess via the Apply More ❯

An exciting media organisation in London is looking for a Data Scientist to join them on a new forecasting project. Based in London Hybrid working, ideally 2-3 days a week in the office (flexible) 6 or 12-month contract Start date: End of June or early July … pro Rata The Job As a Data Scientist, your responsibilities will include: Building forecasting models to track digital content performance Working with time series data, ideally using methods common in finance or trading Incorporating NLP where relevant and sourcing external data to enhance models Using cloud-based … and clearly presenting data insights Taking part in a single-stage, in-person interview that includes a live coding task You Strong experience in time series forecasting from finance, trading or logistics Comfortable working with external data and applying NLP techniques Confident using cloud tools (GCP, AWS More ❯

Why you’ll want to join: Take real ownership – your code and models go live and make an impact Work on interesting problems like time-series forecasting, optimisation, and energy systems Help reduce emissions in a meaningful way Join a small, hands-on team where everyone pitches … office) Tech stack: Python, Streamlit, Docker, GCP, Figma What they’re looking for: Strong Python skills and experience writing production code Comfortable working with time-series data and ideally energy-related data Either experience in energy or a keen interest to learn about the sector Curious, driven, and More ❯

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 More ❯

applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to communicate complex ideas to More ❯

applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to communicate complex ideas to More ❯

work proud and eager to have a real positive influence on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up 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 ❯

Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and … and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to explain complex concepts to More ❯

clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and … data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex More ❯

clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and … data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex 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 ❯

among others. We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, natural language processing, time series forecasting, and/or optimization. At Amazon, we strive to continue being the most customer-centric company on earth. To stay … chance to make history. About the team EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence More ❯

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 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 ❯