126 to 150 of 159 Remote Statistical Modelling Jobs

global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors. In this role, you will use data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber … similarly complex business. You are fluent in SQL and proficient in Python, R, or another programming language, with a strong grasp of statistical methods, experimentation, and causal inference. You combine analytical rigor with strong business judgment and can cleanly extract the “so what” from complex analysis. You are comfortable ...

Salary Range:67,900.00 - 126,100.00Job Description SummaryAssociate Director Statistical Programmer #LI-Hybrid Location: London, UK Remote working can be consideredTherapy Area - CRMThis role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you. … Step into a high-impact leadership role where your expertise will shape the future of drug development. As Associate Director Statistical Programming, you will lead a high-performing community of programmers, driving innovation, quality, and efficiency across complex clinical programs. You'll play a critical role in delivering timely ...

consultancy projects for some of the UK's largest lenders and financial services organisations. You will build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency data to help decisions. This is a highly commercial, client-facing role where you'll own analytics projects from ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues, and opportunities for improvement. Apply … quality and productivity expectations. Participate in onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working proficiency ...

Governance Manager, your main responsibilities include: Ensure delivery of approximately 50 audits per year across the UK, Europe, Middle East and Asia Pacific. Apply statistical analysis and modelling to assess warranty cost risks and vehicle programme impacts Translate complex data into clear, board-level reporting to support warranty ...

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You’ll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

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 ...

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 ...

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 ...

pipelines that sit at its core Design and build production identity resolution pipelines, working closely with the Data Scientist to translate matching logic and statistical models into robust, scalable production code Own ETL/ELT and reverse-ETL orchestration, ensuring reliable, well‐governed data flow from source systems into … frequency and volume increase Build and maintain the CI/CD pipelines and engineering practices (with the freelance Lead Developer) that support Atlas's modelling, forecasting and MMM automation Support productionisation of propensity, forecasting and MMM outputs (e.g. XGBoost, AutoGluon/Chronos, Meridian) built by the Data Scientist, ensuring ...

machine learning applications. Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes. Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning … ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make ML operational whether that ...

from the ground up for the newly launching DFS product. Experimentation & Impact: Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling. Strategic Partnership: Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape … experience with dbt for data modeling are essential. Tooling: Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred. Statistical Rigor: Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks. Communication: Ability to present complex technical insights to non-technical senior stakeholders ...

organisation looking for a Data Scientist to join their growing data function. This is an opportunity to join a collaborative team working on complex modelling problems, using Data Science and Machine Learning to support better commercial decisions. The role will have a particular focus on credit, making … great opportunity for someone with experience working with financial or risk-based data. The Opportunity As a Data Scientist, you’ll develop and improve statistical and Machine Learning models, working with large and complex datasets to identify patterns, understand performance and deliver actionable insights. You’ll be involved throughout ...

ownership of projects from concept to delivery? This Senior Data Scientist opportunity offers the chance to work on high-impact pricing initiatives, develop advanced modelling solutions, and mentor junior team members, all within a business that actively invests in learning, development, and career progression. The Company They … with a strong data-driven culture and a growing Data Science function. The team supports critical business areas through advanced analytics, machine learning, and statistical modelling. With a collaborative approach and clear progression opportunities, they offer an environment where Data Scientists can develop both their technical and leadership capabilities. ...

Using operational excellence to drive a culture of continuous improvement. Contributing to ad hoc projects, as requested, supporting the wider business through use of modelling and analytical techniques to implement solutions to commercial challenges facing the business. What we need from you Highly numerate with degree or equivalent … with good attention to detail. Ability to identify and work with imperfect/incomplete information and to use appropriate business rules and/or statistical/risk modelling techniques to manage uncertainty. Informal presentation skills and an ability to put across complex concepts clearly. Good interpersonal skills ...

environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Proven experience validating complex statistical models using a range of techniques, including independent review, performance testing and challenger model development. Advanced analytical skills with strong proficiency in Excel … audiences. Deep expertise across the full data science lifecycle, with the ability to critically assess model design, performance and risk using a blend of statistical rigour, commercial awareness and regulatory knowledge. Degree level qualification in a mathematical, statistical, data science or other highly analytical discipline. What ...

Outside IR35 Glasgow based, with hybrid working Starting September 2026 Initial 14-week contract, with potential to extend What you’ll do Define clean, modelling-ready datasets andbuild robust validation around them Train and optimise models across multiple B2B datasets, including ranking andweighting Build scoring outputs, reporting and visualisations … from prototype through to production Strong experience with Google Cloud Platform, BigQuery and Vertex AI Strong Python and SQL skills Experience in feature engineering, statistical validation and modelevaluation Comfortable working with messy, imperfect real-world data rather than cleanbenchmark datasets Able to explain model outputs clearly to both technical ...

reports, conference presence, or leading-edge project work Strong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modeling Hands‐on technical proficiency in Python and/or R, and demonstrated fluency with current AI tools, including LLM APIs, prompt design … technical audiences Desirable: PhD in a relevant discipline Strong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modeling Front-end or interactive prototyping experience A record of published or applied research in assessment, measurement, or selection Closing Date: October ...

Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology, bias metrics, performance measures and statistical testing• FRM, CFA, PRM or equivalent quantitative qualification is advantageous• FCA/ ...

collaboration that comes from spending time together in the office. What You’ll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...

collaboration that comes from spending time together in the office. What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...