101 to 125 of 288 Statistical Modelling Jobs in England

maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. In-depth research, data analysis, and statistical modelling to derive insights into market trends. Good foundation in machine learning algorithms, deep learning frameworks, data engineering, and model deployment, with a focus on solving real-world … benchmarks. Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and … risk management across various financial products and markets. Working closely with sales teams to identify clients' needs and develop customised solutions. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. Provide front office infrastructure support though ownership and maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological More ❯

and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating robust … clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictive modelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research projects, academic … papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are More ❯

change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaborate with technology to … specify any dependencies required for analytical solutions, such as data, development environments and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provide ongoing support for the continued effectiveness of analytics and … modelling solutions to users. Ensure conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Undertake all development activities within the defined control environment. Vice President Expectations Contribute to strategy, drive requirements, and recommend changes. Manage resources, budgets, and policies; maintain policies/processes; deliver improvements; escalate breaches. If managing a team, define roles, plan for future More ❯

all functions. The role As a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing. Strategy and innovation: Work closely with … work aligns with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the solution design. Promote analytical rigour … return on investment of different types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning. The requirements Essential: Strong problem-solving skills in probability and statistics. Ability to dive More ❯

Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and proposing new … Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on pulling data … technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a More ❯

Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and proposing new … Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on pulling data … technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a More ❯

solutions to enhance our processes/overall product strategy. Profile, measure, and manage data to achieve best-in-class quality for Climate data products. Perform data profiling and apply statistical methods to find improvement opportunities, support interconnected data models and/or data quality measurements. Leverage subject matter expertise to help drive AI by annotating a wide variety of … to conduct research for new content and translate it into consumable data products, while applying technology such as AI to scale and enhance data collection. Knowledge of Data management, statistical analysis, quantitative modelling, or programming and applied data analysis skills, with proficiency using Excel as well as Python and SQL. Demonstrated data experience, including management, governance and quality 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 ❯

stakeholders, you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering … using OMOP CDM and Real World Evidence frameworks Proven experience with SQL-based data transformation tools such as SQL, DBT, or custom ETL frameworks Experience in large dataset management, statistical analysis, and machine learning techniques Extensive experience of information analysis, business intelligence and reporting Experience of using Business Intelligence tools (e.g. SQL, Python/R, Azure services) Extensive experience More ❯

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 machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. … projects simultaneously, from inception through to production monitoring and optimisation Designing 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 More ❯

Bring: Proven experience developing and deploying AI/ML models in a commercial setting Strong programming skills in Python and familiarity with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI More ❯

integrate analytics into strategic planning. Experimentation & Validation Design, run and analyze A/B tests, simulations and other experimental frameworks to validate hypotheses related to routing and optimisation. Ensure statistical rigor and business relevance in all experiments; translate results into clear recommendations. Feature Prioritisation & Roadmap Alignment Partner with data scientists to evaluate potential features, tools and models. Recommend and … an analytical logistics role; bonus points for two-sided marketplace, last-mile logistics, or e-commerce environments. Prior success driving logistics network optimisation and cost-reduction strategies. Familiarity with statistical modelling techniques (deep data-science expertise not required). Advanced, proven hands-on skills in SQL, Python, and dashboarding tools such as Tableau. Demonstrable track record designing, executing More ❯

Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data More ❯

Analyst, Data Scientist or similar. * Proven experience and strong knowledge of regression analysis * Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. * Proficiency in Python and/or R. * Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). * Ability to use data More ❯

emerging digital trends in social care. What Were Looking For 34+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python or Tableau. Comfortable using qualitative More ❯

a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. More ❯

Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. Apply Statistical and Machine Learning methods to specific business problems and data. Create global standard metrics across regions and perform benchmark analysis. Ensure data quality throughout all stages of acquisition and … process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models. 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 PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company Our inclusive culture empowers More ❯

tracking on Quicksight or Excel, diving deep into data to fix business issues and uncover growth opportunities, estimating business impact for the new program using proxy data, and running statistical models. The ideal candidate will own good business acumen and enjoy influencing business decisions while improving operational efficiency to drive higher productivity. The individual must be able to: - Manage … making. This includes opportunity/risk/impact analysis of new programs/product features and investigation of data quality/customer-facing issues. The role may require using statistical models and delivering 1-4 page documents or contributing to business documentation. Ad-hoc Data Pull Write SQL queries and extract complex data for short/long-term planning … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine More ❯

Automating metrics tracking on Quicksight or Excel - Diving deep into data to fix business issues and uncover growth opportunities - Estimating business impact for new programs using proxy data - Running statistical models - The ideal candidate will possess good business acumen and enjoy influencing business decisions while improving operational efficiency to drive higher productivity. Key Responsibilities: - Manage request intake independently and … making. This includes opportunity/risk/impact analysis of new programs/product features and investigation of data quality and customer-facing issues. The role may require using statistical models and delivering 1-4 page documents or contributing to business documentation. Ad-hoc Data Pull Write SQL queries and extract complex data for short/long-term planning … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling More ❯

solutions to enhance our processes/overall product strategy. Profile, measure, and manage data to achieve best-in-class quality for Climate data products. Perform data profiling and apply statistical methods to find improvement opportunities, support interconnected data models and/or data quality measurements. Leverage subject matter expertise to help drive AI by annotating a wide variety of … to conduct research for new content and translate it into consumable data products, while applying technology such as AI to scale and enhance data collection. Knowledge of Data management, statistical analysis, quantitative modeling, or programming and applied data analysis skills, with proficiency using Excel as well as Python and SQL. Demonstrated data experience, including management, governance and quality assurance More ❯

projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

experience Location United Kingdom, Manchester Job Type Permanent Description A national business based in Central Manchester are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the … ability to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯

of the role below . A national business based with offices in Central Manchester and Leeds are looking for a Senior Data Analyst to join their data analytics and modelling team. This is the perfect opportunity for an ambitious analyst! Responsibilities for the role are as follows: The successful candidate will have a strong track record developing and applying … modelling and data analytics solutions, in addition to exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the … ability to develop complex technical outputs and offer input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min More ❯