complex industrial datasets where conventional big data approaches may not apply. In this role, you will be expected to apply data-driven methodologies to solve real-world problems using timeseries data and other imperfect or limited datasets. Candidates who thrive in ambiguity and take a hands-on approach to problem-solving will be well-suited for this … with clients and presenting technical insights to senior stakeholders. Exceptional communication skills are essential, particularly for conveying complex analytical findings to non-technical audiences. Key Responsibilities: Analysing and interpreting timeseries and real-time production data Deploying practical data science solutions to optimise processes Collaborating with stakeholders to define analytical problems and outcomes Presenting findings to executive … sites (up to three times per year, 2/3 days onsite) Essential Requirements: Demonstrable experience working with limited or imperfect datasets in an industrial setting Proven capability in timeseriesanalysis and process optimisation Strong interpersonal and communication skills, especially in client-facing environments Confidence in presenting analyses and recommendations to executive stakeholders Understanding of complex More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Avanti
the globe. This role offers a chance to build models, generate insights, and work directly with real-world product and customer data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working … on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You … able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch within a growing data function Exposure to cutting-edge work in NLP, time-seriesanalysis, and computer vision Collaborative startup environment where ideas turn into production Competitive salary - £35,000–£50,000 DOE UK-based only, Fully remote working N.B. More ❯
working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data … Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-seriesanalysis is a strong plus. Please note, this role cannot offer VISA sponsorship. More ❯
working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data … Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-seriesanalysis is a strong plus. Please note, this role cannot offer VISA sponsorship. More ❯
ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. … ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles … Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding practices (Git, automated testing, CI/CD). Proficiency with Linux Familiarity with time-seriesanalysis Experience in financial services Above all were seeking incredibly smart, driven people. More ❯
Head of Data and manage one Data Analyst. You’ll play a key role in shaping how data drives the business forward, working on areas such as: Forecasting and timeseriesanalysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders … across teams to embed data-driven decision-making This is a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or timeseries modelling Experience working across multiple stakeholder groups … such as operations, marketing, finance, energy Strong communication skills with the ability to simplify complex analysis A proactive mindset and comfort working in a smaller, fast-moving environment Experience managing or mentoring junior analysts is highly desirable BENEFITS The successful Senior Data Analyst will receive a salary between £70,000 and £80,000, alongside a comprehensive benefits package and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Head of Data and manage one Data Analyst. You’ll play a key role in shaping how data drives the business forward, working on areas such as: Forecasting and timeseriesanalysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders … across teams to embed data-driven decision-making This is a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or timeseries modelling Experience working across multiple stakeholder groups … such as operations, marketing, finance, energy Strong communication skills with the ability to simplify complex analysis A proactive mindset and comfort working in a smaller, fast-moving environment Experience managing or mentoring junior analysts is highly desirable BENEFITS The successful Senior Data Analyst will receive a salary between £70,000 and £80,000, alongside a comprehensive benefits package and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Head of Data and manage one Data Analyst. You'll play a key role in shaping how data drives the business forward, working on areas such as: Forecasting and timeseriesanalysis to support demand and operational planning Dynamic pricing and revenue optimisation Translating data into actionable insights that influence strategy and commercial outcomes Collaborating with stakeholders … across teams to embed data-driven decision-making This is a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or timeseries modelling Experience working across multiple stakeholder groups … such as operations, marketing, finance, energy Strong communication skills with the ability to simplify complex analysis A proactive mindset and comfort working in a smaller, fast-moving environment Experience managing or mentoring junior analysts is highly desirable BENEFITS The successful Senior Data Analyst will receive a salary between £70,000 and £80,000, alongside a comprehensive benefits package and More ❯
Based Computing with the Wolfram Language. This course provides an example-led introduction to techniques for analysing a wide range of humanities data with the Wolfram Language; from text analysis, image processing, and visualization, to network analysis, time-related and geographic computation, and machine learning. The course assumes no prior knowledge of any programming language. Participants will …/talk on some aspect of the Wolfram Language relevant to the humanities. This need not be text related. Potential topics for your presentation might include geodata & geocomputation, network analysis, general graphing & plotting, timeseriesanalysis, an intro to machine learning, sound analysis & sonification, using MMA with R-Link, etc. Meet the Instructors and Course … longer and give two talks (or perhaps even assist us with running the class itself). Additional Context Although we didn't plan this, this is a particularly auspicious time to be learning the WL, with lots of new resources available from WR and elsewhere, and huge potential for applying it in the humanities. Contact and Communications If you More ❯
report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and timeseries modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or timeseriesanalysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯
report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and timeseries modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or timeseriesanalysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯
report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and timeseries modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or timeseriesanalysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯
london (city of london), south east england, united kingdom
Harnham
report to the Head of Data and lead one Analyst, shaping how data informs strategy, performance, and pricing decisions across the business. You’ll get stuck into: Forecasting and timeseries modelling to support demand and operational planning Dynamic pricing and revenue optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across … work will have a direct impact on growth and the transition to cleaner energy. Your Skills You’ll need: Strong SQL and Python skills Experience with forecasting, regression, or timeseriesanalysis Proven ability to communicate insights clearly and confidently to non-technical audiences A proactive mindset — comfortable in a fast-paced, scaling environment Bonus: experience managing More ❯
mansfield, midlands, united kingdom Hybrid / WFH Options
Ascent People Ltd
Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for a technically skilled Engineering Analyst to join their growing team and … and client-facing reports and visualisations What you'll need Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics, or related field) Strong background in structural dynamics, fatigue analysis, and materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-seriesanalysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural health monitoring technologies Familiarity with finite element analysis (FEA) tools and interpreting simulation results Exposure to cloud-based data platforms and software tools such More ❯
derby, midlands, united kingdom Hybrid / WFH Options
Ascent People Ltd
Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for a technically skilled Engineering Analyst to join their growing team and … and client-facing reports and visualisations What you'll need Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics, or related field) Strong background in structural dynamics, fatigue analysis, and materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-seriesanalysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural health monitoring technologies Familiarity with finite element analysis (FEA) tools and interpreting simulation results Exposure to cloud-based data platforms and software tools such More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
Ascent People Ltd
Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for a technically skilled Engineering Analyst to join their growing team and … and client-facing reports and visualisations What you'll need Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics, or related field) Strong background in structural dynamics, fatigue analysis, and materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-seriesanalysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural health monitoring technologies Familiarity with finite element analysis (FEA) tools and interpreting simulation results Exposure to cloud-based data platforms and software tools such More ❯
We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available Locations: London, UK About the Team Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats … patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly enhance our Cloudforce One offering by transforming raw data into critical, real-time threat intelligence, providing unparalleled protection and actionable insights to our customers. If you are passionate about applying sophisticated data science to solve complex cybersecurity challenges at an unprecedented scale … scalable threat detection models. Partner with threat intelligence analysts to understand emerging attack techniques and leverage data to develop novel detection strategies and expose findings. Perform in-depth data analysis to identify trends, relationships, and anomalies within vast security datasets. Develop, validate, and refine statistical and machine learning models for threat detection and intelligence generation. Monitor the performance of More ❯
environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data led … working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, timeseriesanalysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative More ❯
environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data led … working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, timeseriesanalysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative More ❯
environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data led … working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, timeseriesanalysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative More ❯
Job description Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to … related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, timeseriesanalysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large More ❯
. Strong analytical and problem-solving skills with the ability to work independently. Excellent communication skills to explain complex insights to non-technical stakeholders. Desirable: Experience with Geolift testing, timeseriesanalysis, and other advanced experimentation techniques. Prior exposure to multiple marketing channels and campaign analytics. More ❯
. Strong analytical and problem-solving skills with the ability to work independently. Excellent communication skills to explain complex insights to non-technical stakeholders. Desirable: Experience with Geolift testing, timeseriesanalysis, and other advanced experimentation techniques. Prior exposure to multiple marketing channels and campaign analytics. More ❯
. Strong analytical and problem-solving skills with the ability to work independently. Excellent communication skills to explain complex insights to non-technical stakeholders. Desirable: Experience with Geolift testing, timeseriesanalysis, and other advanced experimentation techniques. Prior exposure to multiple marketing channels and campaign analytics. More ❯
. Strong analytical and problem-solving skills with the ability to work independently. Excellent communication skills to explain complex insights to non-technical stakeholders. Desirable: Experience with Geolift testing, timeseriesanalysis, and other advanced experimentation techniques. Prior exposure to multiple marketing channels and campaign analytics. More ❯