351 to 375 of 416 Statistical Modelling Jobs in England

simple to understand, straightforward manner. Support model-related internal and external audits. What You’ll Need Knowledge of model validation techniques, including desktop reviews, statistical testing and challenger model development. An ability to critically analyse and validate complex statistical models across a range of business areas, utilising … balance of business and regulatory knowledge combined with statistical rigour. An understanding of the prudential regulatory environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Degree educated in a mathematical or analytical field. Experience of operating ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

benchmark maintenance, calculate and deliver portfolio and manager level investment results, and provide advanced analytics and attribution analyses. Designs, develops, and interprets analytical/statistical models and forecasts to support investment and sales and marketing activities Researches, analyzes, and resolves discrepancies impacting results with internal operational teams Performs results … statistical, and portfolio analysis Develops and provides analysis of portfolio results, including hypothetical/paper portfolio results Designs and develops forecasting tools and statistical models that directly support the investment and distribution decision-making processes Creates a narrative out of data, asking the right questions to ensure understanding ...

decision science, data science, credit risk analytics, model validation or a related quantitative role. Strong knowledge of statistics and data science, with sufficient modelling expertise to reproduce, evaluate and independently challenge predictive models. Advanced SQL skills for data extraction, validation, reconciliation and performance analysis. Advanced Python skills for statistical ...

Partner with EMEA & APAC HR and business leaders to translate complex workforce challenges into actionable, hypothesis-driven analytical projects. Design, build and validate predictive statistical models (e.g., attrition, headcount, talent forecasting) to drive strategy. Translate complex quantitative outputs into clear, compelling narratives tailored for non-technical stakeholders. Partner with … consultative/technical capacity. Proficiency in SQL, Tableau, Excel, or similar data visualization and manipulation tools. Strong expertise in advanced analytics and statistical modeling. Working knowledge of HRIS platforms such as Workday, SuccessFactors or Oracle, as well as a solid understanding of core HR processes and People data. Ability ...

uptime and revenue. About The Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling … Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments ...

lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes. Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets … expand the overall Longevity business portfolio. Support the development of Protection pricing bases by integrating predictive analytics and new data-driven techniques into modelling approaches, improving insight, and pricing robustness. Management of our internal data pools, ensuring they are effectively maintained and leveraged to deliver maximum analytical and business ...

digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include designing and implementing … equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis Knowledge of whole-slide imaging and computational pathology workflows Strong statistical analysis and data modelling skills Ability to manage and interpret complex biomedical datasets Excellent scientific writing and communication skills Experience in securing ...

cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems … shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical ...

model reviews independently. Strong knowledge of market risk, liquidity risk or initial margin models Python and SQL skills, plus an understanding of option pricing, statistical risk modelling, backtesting and stress testing The ability to present complex findings clearly to technical and non-technical stakeholders Experience with exchange-traded ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … DoOur Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … DoOur Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

Join us at Barclays as a Data Modelling Vice President (VP). We’re looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power our strategic data products across BUK. In this role, you’ll set the modelling … Engineering, Architecture, and Controls teams to build models that are robust, reusable, and ready for enterprise‐scale implementation. To be successful as a Data Modelling VP, you should have experience with: Leading the design and governance of enterprise‐grade conceptual, logical, and physical data models across large financial domains. ...

will deploy models from research to production within an engineering framework, collaborating across teams and contributing to client pricing tasks. The role combines rigorous statistical modelling with production code, offering peer reviews, talks, and opportunities for further education. Prior market making experience is highly valued. #J-18808-Ljbffr ...

Role We are looking for a biostatistician with expertise in Bayesian modelling to work on probabilistic modelling of physiological data and medical risk. The role focuses on developing statistical frameworks that combine multiple data sources to estimate the probability of life-threatening deterioration and support triage prioritisation. … engineers, medical advisors, and the product team to design models that operate in real-world environments with noisy and incomplete data. Responsibilities Develop Bayesian statistical models to estimate physiological deterioration risk from multi-sensor data Build probabilistic frameworks integrating vital signs, haemodynamic indicators, motion data, and environmental variables Design ...

capabilities that support reinsurance placements, portfolio optimisation and client strategy. This is an opportunity for a technically strong actuary to combine pricing expertise, catastrophe modelling knowledge and commercial insight in a highly visible role at the heart of the treaty reinsurance market. Key Responsibilities Lead pricing and portfolio analytics … Property Risk XL, Catastrophe XL, Retrocession and ILW business. Apply experience, exposure and catastrophe modelling techniques to assess risk and pricing adequacy. Evaluate treaty structures including attachments, limits, reinstatements, hours clauses and aggregate features. Provide insight on catastrophe model output, model uncertainty and non-modelled exposures. Support the design ...

issues Understanding of balance sheets and regulatory capital requirements would be an added advantage 6-10 years experience in financial industry using tools for statistical modeling of large data sets Skills: Very strong SQL and Python skills required Previous experience with streamlit will be an advantage Strong analytical … detail. Demonstrable team skills both within and across teams. Ability to pick up new concepts and think outside the box. Preferably comfortable with derivatives modelling concepts. Education: Bachelor’s/University degree or equivalent experience, potentially Masters degree What Citi Can Offer You By joining Citi London, you will ...

Junior Data Scientist - Sales & MarketingHybrid in London, United Kingdom We’re looking for a Junior Data Scientist You'll design experiments and build the statistical models that shape how the company reaches new customers. You'll practise mastery of your craft, mentored by the team's data scientist, with … work with people across each function. The role As a Data Scientist in the Direct Acquisition team, you'll design experiments and build the statistical models that shape how the company reaches its next customers. Your findings feed directly into how we invest in sales and marketing. ...

commercial challenges into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. … grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability to explain complex analysis clearly and connect it to business action. Desirable Exposure ...

commercial challenges into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. … grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability to explain complex analysis clearly and connect it to business action. Desirable Exposure ...

Analyst to join an established organisation in Derbyshire, offering a great opportunity for someone who wants to work across Power BI, data modelling, reporting and analytics . This is a hybrid role (1 day per week in the office) This isn’t just a case of producing reports … people make better, data-driven decisions . What will you be doing? Building and developing Power BI reports & dashboards Data extraction, transformation and data modelling Working with DAX & SQL Developing statistical models across sales & marketing data Managing and improving monthly reporting processes Identifying trends and translating them into ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize ...

Strong commercial experience, using data to solve real business and product problems Experienced working closely with Product and/or Growth teams Strong across statistical analysis, experimentation, modelling, and data-driven decision making Comfortable taking ambiguous commercial problems and turning them into clear analytical approaches An excellent communicator ...