76 to 100 of 689 Statistical Modelling Jobs in England

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail … procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required … Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the More ❯

many financial centers around the world. Find out more about us by visiting our website at: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges … with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

Ago time left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for … procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required … Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the More ❯

and generative AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create …/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big More ❯

and e-commerce leaders to offer flexible, branded financing to their merchant bases through a cutting-edge software. The Role Perform in-depth portfolio-level credit risk analysis using statistical methods and data modelling Monitor and evaluate customer segment performance to identify risk trends and opportunities Contribute to the design and enhancement of credit risk policies, pricing models … visualisation and presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary & Benefits Base salary between £60,000 and £80,000 Annual bonus up to 15% Stock options Private medical insurance (Vitality) Enhanced maternity and paternity leave Employee Assistance Programme More ❯

refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale … structured and unstructured datasets. 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. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes Your Profile Essential skills/knowledge/experience: Good experience in AI … NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. More ❯

and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement … new technologies Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making Attention to detail & problem More ❯

of a global shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI … Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) 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 More ❯

e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine interest in applying academic research to real-world problems Experience peer reviewing papers, journals etc. Excellent communication and collaboration skills Exposure to financial data or More ❯

answer business questions Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial More ❯

ethos and ensure we stay true to our Customers, Owners and Colleagues alike. Essential Experience: Extensive experience designing, developing and deploying machine learning and AI solutions in production environments Statistical modelling, machine learning (e.g. logistic regression, random forest, XGBoost, and modern deep learning techniques (e.g. transformers, transfer learning, reinforcement learning) Proven ability to lead technical direction across projects More ❯

grade pricing and risk models effectively, safely, and consistently. What you'll do Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities Build and validate statistical & machine learning models that power pricing and risk selection Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models Communicate insights clearly through dashboards, visualisations and … the ability to present complex ideas simply Right to work in the UK Nice to have (but not essential) Internship or course project involving real‐world data analysis or modelling Familiarity with cloud platforms (e.g. AWS) and version control (git) Experience with BI/visualisation tools (e.g. Looker) What's it like to work at Zego? Joining Zego is More ❯

innovation that is part of the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning … practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Responsibilities: Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Estimate solution feasibility and potential approaches based on available data. Understand what data is available, where, and how … it together. Work with partner teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with the development and implementation of state-of-the More ❯

into specific plans for engineering teams. Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of … data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience applying various machine … cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML More ❯

driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully … Key Responsibilities - Define, build, and lead a team of Data Scientists - Discover areas of the customer experience that can be automated through machine learning - Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics … such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training - Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers BASIC QUALIFICATIONS - 5+ years of building quantitative solutions as a More ❯

Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to … be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all … help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of data scientist experience - 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance More ❯

therapy products, from early phase development to commercial production. The candidate should have experience using a variety of data mining/data analysis methods, as well as a strong statistical knowledge, DoE study experience and hands-on experience with JMP or similar software and building appropriate systems to interrogate database. Experience in working in a regulated environment is essential … discovering solutions hidden in large data and be comfortable working with a wide range of stakeholders and functional teams to improve process outcomes. Requirements Required Experience & Knowledge: • Experienced in statistical modeling, multivariate data analysis and process analytics and experienced with applications (e.g. JMP...) • Proficiency using programming languages (e.g. R, Python, SQL, SAS, etc.) to manipulate data and draw insights More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯

and applied AI to join the Analytics & Insights team. In this role, you'll lead data science initiatives that optimize product availability, buying strategies, and category performance using advanced statistical modeling and machine learning techniques. You will work closely with Category Managers, In-Stock Merchandising, and a dedicated Data Analyst to deliver intelligent automation and data-driven decision-making … 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 or risks in product lifecycle. Lead post-implementation reviews with insights into the performance More ❯

and applied AI to join the Analytics & Insights team. In this role, you'll lead data science initiatives that optimize product availability, buying strategies, and category performance using advanced statistical modeling and machine learning techniques. You will work closely with Category Managers, In-Stock Merchandising, and a dedicated Data Analyst to deliver intelligent automation and data-driven decision-making … 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 or risks in product lifecycle. Lead post-implementation reviews with insights into the performance More ❯

vision of its data and how to maximise its usage. Lead complex data science projects, offering guidance on model development, deployment, and optimisation. Establish best practices in machine learning, statistical analysis, and model governance. Responsible for the design and performance of our algorithmic approaches. Design and implement advanced statistical models and machine learning algorithms to solve complex problems. More ❯

techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings in a clear, concise manner to stakeholders. Stay up to date … with emerging AI trends and their applications in the insurance industry. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieval and collection of open and closed data sources, including data processing, cleansing and verification. Where applicable, work with developers to integrate specialist third party applications. Be the subject matter expert for machine learning techniques, aiding More ❯

platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate … computing tools in Python, such as Dask or Ray Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research Solid understanding of the differences between L1, L2 and L3 market tick data Experience with AWS, Linux and More ❯