1 to 25 of 26 Time Series Analysis Jobs in England

expert in the application and use of Excel, SQL, PowerBI and Power Platforms Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy devising new reporting strategies to solve problems … per week onsite in the West Midlands The base salary is between £48000 - £50000 (DOE) + Bonus + Broad Corporate Benefits Key Role Purpose & Responsibilities Develop and provide detailed analysis and insight into operational performance variances at both macro and micro levels. Conduct detailed performance analysis of both cost and service drivers to identify and recommend performance improvement … insight. Key Skills & Experience Will Include Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills) Appreciation of building machine learning models using techniques such as forecasting, time series analysis and optimisation Articulate & concise presentation and communication style to simply complex technical and analytical information to non-technical audiences. Able to manage conflicting priorities & work More ❯

Overview Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000/year At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We … are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we … be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it More ❯

solving skills. You are someone who knows the fundamentals of machine learning and/or operations research and knows when they should be applied, and ideally have experience with time series analysis or forecasting. You are a keen problem solver, able to think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic … insights are aligned with the direction the business is heading in. You should also be proactive in gathering input from relevant stakeholders to enhance the accuracy and relevance of analysis you produce Ability to take a fuzzy business objective and turn it into a problem that can be solved via machine learning and optimisation Comfortable working in a fast … and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is More ❯

use buildkite and argoCD) Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools Exposure to telematics or usage-based insurance data Experience with time series analysis and/or graph technologies What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching … and help each other to be the best we can be. Together, we're making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. … We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we More ❯

ll be doing Providing input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently in operation remain robust and fit for purpose Leading key discussions and presenting analytical findings and solutions to … interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally to a range of … coaching skills to enable you to upskill junior colleagues. It's a bonus if you have but not essential Knowledge of economical processes, ideally with some experience of economic time series analysis Functional Risk and Regulatory knowledge ideally within IFRS 9 and/or IRB and Stress Testing Red Hot Rewards Generous holidays - 38.5 days annual leave More ❯

Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical More ❯

Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical More ❯

Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical More ❯

Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical More ❯

Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical More ❯

TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation and Bayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting professional More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

A University in the South is seeking a Senior Data Officer to prepare a series of Data Returns.Senior Data Officers form part of the Student Data & Statutory Reporting team within Academic Registry. They provide support to the Assistant Registrar in the preparation of major data returns to statutory bodies (such as the Office for Students (OfS), and the Higher … Education Statistics Agency (HESA) and the Student Loans Company (SLC)) as well as the provision of a wide range management information and data analysis for internal and external audiences.Senior Data Officers will work collectively to ensure work is prioritised effectively, but will have a considerable degree of autonomy in the day-to-day organisation of their work. While the … LEAs). Notification to the SLC and LEAs of changes in student circumstances and results. You will undertake a range of student data analyses. Typically tasks may include: Expert analysis of student data in response to regulatory requirements such as the Access and Participation Plan. Expert advice to colleagues across the institution in response to enquiries about student related More ❯

A University in the South is seeking a Senior Data Officer to prepare a series of Data Returns. Senior Data Officers form part of the Student Data & Statutory Reporting team within Academic Registry. They provide support to the Assistant Registrar in the preparation of major data returns to statutory bodies (such as the Office for Students (OfS), and the … Higher Education Statistics Agency (HESA) and the Student Loans Company (SLC)) as well as the provision of a wide range management information and data analysis for internal and external audiences. Senior Data Officers will work collectively to ensure work is prioritised effectively, but will have a considerable degree of autonomy in the day-to-day organisation of their work. … LEAs). Notification to the SLC and LEAs of changes in student circumstances and results. You will undertake a range of student data analyses. Typically tasks may include: Expert analysis of student data in response to regulatory requirements such as the Access and Participation Plan. Expert advice to colleagues across the institution in response to enquiries about student related More ❯

agrochemicals, crop science, or agricultural R&D , and a passion for working with live, streaming, or sensor-based data . You’ll help us build robust datasets from real-time field trials, integrate diverse data sources, and develop predictive models that guide product development and deployment. Key Responsibilities Design and implement pipelines to ingest, clean, and structure live data … in data science within agrochemicals, crop science, or precision agriculture. Strong skills in Python, R, or similar tools for data engineering and modeling. Familiarity with IoT/sensor data , time-series analysis, and cloud-based data platforms. Understanding of field trial design and agricultural datasets. MSc or PhD in Data Science, Agronomy, Plant Biology, or related field More ❯

basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯

basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯

basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯

basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯

basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯

non-technical stakeholders. Technical Prowess: You have a strong command of quantitative trading principles and are proficient with relevant technologies. Deep knowledge of statistical modelling, machine learning techniques, and time series analysis. Hands-on experience with back-testing frameworks and simulation environments. A strong understanding of various market data APIs, trading protocols (e.g., FIX), and exchange connectivity. Qualifications More ❯