1 to 25 of 52 Analytical Modelling Jobs in England

the development and maintenance of risk scorecards. Collaborate with the Cash Collections Insight Manager to develop reports that provide insights into collections opportunities and customer payment behaviours. Utilise advanced analytical tools such as Excel, Alteryx, Exasol, and Tableau to create and maintain reports. Employ SQL and database skills to manage and manipulate data effectively. Apply predictive analytical modelling techniques to improve business processes. Present findings and insights with confidence across all management levels. Ensure high standards of accuracy and detail in all analytical outputs. Required Skills & Qualifications: Degree in a mathematical, statistical, or scientific discipline. Expertise in Excel, Alteryx or similar workflow systems, Exasol, and Tableau. Strong SQL and database management skills. Working knowledge of R … and/or Python is highly advantageous. Understanding of predictive analytical modelling techniques. Proven ability in data manipulation and interpretation for Management Information. Exceptional problem-solving and numerical skills, with a keen attention to detail. Benefits: Competitive hourly rate. Hybrid working model, allowing flexibility between home and office. Opportunity to work in a dynamic and challenging environment. Exposure More ❯

the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data models, data governance framework, and data integration patterns. This role requires a deep understanding of … themes. Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management … e.g., APIs, databases, financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data is readily available for modelling runtimes (Python, R, MATLAB). Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance More ❯

decisions tailored to the UK&I market landscape. These are some of the key ingredients to the role: Commercial Analytics & Strategy Lead the UKI commercial analytics function, developing advanced analytical frameworks and models to support data-driven decision-making. Optimize revenue, pricing strategies, commission structures, and promotional investments within the UKI Market. Build and manage robust forecasting, performance tracking More ❯

abilities by acting as a technical resource. Champions, continuously develops and shares with team knowledge on emerging trends and changes in machine learning and artificial intelligence. Design and create analytical data models that deliver value. Demonstrate the practical use of models and innovate in applying models to deliver value quickly. Explore and discover data using tools such as Python More ❯

planning, and analytics within a complex, global organization or equivalent Strong leadership and team development skills, with experience managing high-performing teams of no less than 5 professionals Advanced analytical and modeling expertise, including scenario planning, demand forecasting, and proficiency with workforce analytics tools (e.g., Visier) Excellent stakeholder management and advisory skills with senior executives Proven ability to drive More ❯

planning, and analytics within a complex, global organization or equivalent Strong leadership and team development skills, with experience managing high-performing teams of no less than 5 professionals Advanced analytical and modeling expertise, including scenario planning, demand forecasting, and proficiency with workforce analytics tools (e.g., Visier) Excellent stakeholder management and advisory skills with senior executives Proven ability to drive More ❯

planning, and analytics within a complex, global organization or equivalent Strong leadership and team development skills, with experience managing high-performing teams of no less than 5 professionals Advanced analytical and modeling expertise, including scenario planning, demand forecasting, and proficiency with workforce analytics tools (e.g., Visier) Excellent stakeholder management and advisory skills with senior executives Proven ability to drive More ❯

of active clients we serve to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical … trading and risk management objectives, across its derivatives business. What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements Lead, mentor, and develop a team of quantitative analysts and researchers Collaborate with senior leadership to align quantitative analysis objectives with overall business goals … Build and maintain relationships with key stakeholders across trading, risk, and technology teams Establish and monitor analytical standards and quality metrics for all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize More ❯

number of active clients we serve to drive sustainable growth. Your role in the Teams Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical … trading and risk management objectives , across its derivatives business . What youll do Key Responsibilities Leadership & Strategy Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements Lead, mentor, and develop a team of quantitative analysts and researchers Collaborate with senior leadership to align quantitative analysis objectives with overall business goals … Build and maintain relationships with key stakeholders across trading , risk, and technology teams Establish and monitor analytical standards and quality metrics for all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize More ❯

of active clients we serve to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical … and risk management objectives , across its derivatives business . What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements Lead, mentor, and develop a team of quantitative analysts and researchers Collaborate with senior leadership to align quantitative analysis objectives with overall business goals … Build and maintain relationships with key stakeholders across trading , risk, and technology teams Establish and monitor analytical standards and quality metrics for all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize More ❯

banner of “Analysis” as part of the Origin ecosystem, which include: • Kaleidoscope: A machine-learning tool to make early-stage design analysis much faster than traditional methods • SAM (Sustainability Analytical Model): A toolset for rapidly creating simulation models and outputs We are seeking a Product Lead for Analysis and AI with a broad background in ML, AI, simulation, analysis More ❯

drive innovation at DeepL by facilitating the flow of this data from producers to consumers, in order to maximize business impact. Through the creation of stable and user-friendly analytical data models, we make customer data models and user behavioral data accessible and reusable for data professionals throughout the company. In this role, your main responsibilities and deliverables will … managers, data scientists, data engineers, and developers to solve complex technical challenges. You may work with revenue, customer, or product usage data and will be expected to gain an analytical understanding of these datasets. Your responsibilities Data pipeline development: design, implement, and maintain scalable data pipelines and architecture in both our on-prem and cloud environments. Build the next More ❯

about data and consumer behaviour? Join a fast-growing retail innovation company in the heart of London. We're looking for a Junior Data Scientist eager to apply their analytical and modelling skills to support data-driven decisions that improve performance, enhance customer engagement, and increase profitability across the retail value chain. 🔍 Your Responsibilities: Analyse consumer and sales … data: Work with large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising … field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to interpret More ❯

business. You will be a key partner to senior stakeholders, providing data-driven insights, financial analysis, and commercial support. This role requires a commercially astute finance professional with strong analytical and modelling skills, excellent stakeholder management and a deep understanding of FP&A, ideally within a fast-moving, PE-backed environment. This role also offers the opportunity to … leveraging automation and best practices to improve efficiency and accuracy. Person profile: Qualified accountant (ACA, ACCA, CIMA) experience in FP&A, commercial finance, or business partnering roles. Advanced financial modelling and analytical skills, with the ability to translate data into actionable insights. Experience in a PE-backed or technology-driven business is highly desirable. Proven track record of More ❯

threats. What you'll need Proven product experience in fintech, payments, or fraud/financial crime prevention. Strong track record delivering data-driven products with engineering and analytics teams. Analytical mindset; comfortable interpreting model performance metrics. Ability to balance risk prevention with great customer experience. Comfortable working directly with founders in a fast-paced startup. Nice-to-haves Experience More ❯

ll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights … in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's A Bonus If You Have: Experience in finance: Prior exposure More ❯

ll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights … in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's A Bonus If You Have: Experience in finance: Prior exposure More ❯

power electronics circuits design, snubber design, gating electronics design, thermal design, etc. This requires semiconductor device domain knowledge (Diodes, Thyristors, IGBTs, GTOs, IGCT, MOSFETS, SiC, GaN, etc). Undertake modelling, analysis, and simulation of power electronic converter systems, using standard industrial design tools such as: Matlab, Simulink, PLECS, PSpice, Mathcad, CFD, etc. Development of power electronic systems analytical, modelling tools for systems with a large degree of MW range power electronic converter systems. These will include power electronic inverter thermal studies, EMC, harmonic studies, common mode studies, rating evaluation, performance evaluation and optimisation etc. Verification, validation, testing of low voltage & medium voltage power electronic systems, Application of engineering standards and development of design practices. Ensuring power More ❯

operational excellence through advanced analytics and data strategy. Key Responsibilities Develop and lead the execution of data and analytics strategies aligned to wider business objectives. Design and deploy advanced analytical models and dashboards to extract insights, forecast trends, and inform strategic decision-making. Collaborate with functions including Underwriting, Claims, Actuarial, and IT to integrate data solutions into day-to … data pipelines, APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management across the enterprise. Implement lineage tracking and orchestration tools to improve transparency and governance. Conduct code reviews, testing, and documentation to ensure quality and robustness of … and interpersonal skills, with the ability to liaise confidently between technical and non-technical stakeholders. Demonstrated ability to influence and engage across business functions and with external partners. Strong analytical thinking and a methodical approach to problem-solving. Skilled at managing multiple workstreams and priorities effectively. Technical Expertise: Advanced knowledge of Microsoft BI tools (SSIS, SSRS). Strong SQL More ❯

Oil trading company, with physical assets across Europe. They actively source, refine, market and trade Crude Oil and Oil products, and associated financial derivatives. We are seeking a highly analytical and commercially minded professional to support the financial and strategic decision-making processes across the Group. The successful candidate will play a critical role in delivering robust financial and … including margin and FX risk assessments, working capital management and financing, liquidity forecasting, covenant analysis and economic feasibility reviews of initiatives and projects under management consideration. COMMERCIAL SKILLS: Strong analytical mindset with proven business acumen. Comfortable with financial, trade and management reporting analysis. Solid foundation in statistical analysis and accounting principles. Highly numerate with strong attention to detail. Strong … Engineering or a related quantitative field. Experience in building and maintaining complex models using tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles More ❯

Oil trading company, with physical assets across Europe. They actively source, refine, market and trade Crude Oil and Oil products, and associated financial derivatives. We are seeking a highly analytical and commercially minded professional to support the financial and strategic decision-making processes across the Group. The successful candidate will play a critical role in delivering robust financial and … including margin and FX risk assessments, working capital management and financing, liquidity forecasting, covenant analysis and economic feasibility reviews of initiatives and projects under management consideration. COMMERCIAL SKILLS: Strong analytical mindset with proven business acumen. Comfortable with financial, trade and management reporting analysis. Solid foundation in statistical analysis and accounting principles. Highly numerate with strong attention to detail. Strong … Engineering or a related quantitative field. Experience in building and maintaining complex models using tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles More ❯

functional delivery teams, mentoring engineers, scientists and analysts. Partner with our delivery provider to onboard specialist roles per your recommendations. Oversee implementation of new data platforms, ETL pipelines, and analytical models. Standards, Compliance & Quality Monitor application of data standards, governance frameworks and security controls. Embed strong data quality, lineage and protection practices across all systems. Contribute to and enforce …/executing data strategies in complex organisations. Technical Breadth : Cloud-based data platforms AWS must (Azure, AWS or equivalent) Modern ETL/ELT tools and data pipeline frameworks Data modelling, warehousing and transformation best practices Data science/ML lifecycle from prototype to production Government/Public Sector : Experience to GDS-equivalent standards; strong grasp of GDPR, FOI and More ❯

a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage multiple projects simultaneously, and prioritise tasks effectively. They should have excellent problem … and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager … processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client materials in line with strategic objectives, ensuring clear articulation of analytical insights and MMM recommendations. Contribute to collaborative team learning and knowledge sharing to strengthen capabilities, particularly in areas of marketing effectiveness measurement and MMM best practices. Deliver in specific More ❯

a minimum of 5 years of experience in project management, client relationship management, and demonstrable expertise in data analytics, particularly within the realm of marketing effectiveness and Marketing Mix Modelling (MMM). The Client Success Manager should be able to work in a fast-paced environment, manage multiple projects simultaneously, and prioritise tasks effectively. They should have excellent problem … and interpretation of model outputs. They should be up to date with the latest trends and developments in marketing measurement. They should be able to interpret complex data and analytical insights, including those derived from MMM, and present them in a clear, concise, and actionable manner to clients, translating technical findings into strategic business recommendations. The Client Success Manager … processes for work delivery and client satisfaction, specifically for projects involving advanced analytics and MMM. Deliver high-quality client materials in line with strategic objectives, ensuring clear articulation of analytical insights and MMM recommendations. Contribute to collaborative team learning and knowledge sharing to strengthen capabilities, particularly in areas of marketing effectiveness measurement and MMM best practices. Deliver in specific More ❯

be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on statistical method … will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate … statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud More ❯