126 to 150 of 236 Statistical Modelling Jobs in London

Permanent Key Duties (Including but not limited to): Drive projects that utilise novel datasets (e.g., particularly UnderwriteMe, medical and wellness data) to advance risk modelling and underwriting innovation Lead ideation and execution of advanced analytics and novel data initiatives supporting Protection and Savings & Retirement strategies Embed advanced analytics techniques …/or Pricing across lines of business Proven ability to lead complex projects and stakeholder management of cross-functional teams Expertise in statistical modelling, predictive analytics, and data science tools (R, Python, SQL) #J-18808-Ljbffr ...

portfolioDrive improvements in pricing sophistication, segmentation, and predictive capability. Own delivery of pricing changes from concept through to deployment, ensuring measurable commercial impact.2. Modelling & AnalyticsOversee development of advanced pricing models (GLMs, machine learning, telematics where relevant).Ensure models are statistically robust, well-documented, and aligned with business objectives. Translate … Foster a high-performance, collaborative, and inclusive team culture. Key Skills & ExperienceStrong experience in general insurance pricing (preferably UK motor).Deep technical expertise in statistical modelling (e.g., GLMs; exposure to ML desirable).Proven track record of delivering end-to-end pricing initiatives. Strong understanding of regulatory and governance ...

Type: Contract Compensation: $60–$100/hour Location: Remote About the Opportunity This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects . In this role, you'll apply … your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs . Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems. No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory ...

making impactful recommendations. An advanced degree in a quantitative field and strong Python skills are essential. Join us in transforming business efficiency with statistical modeling and data analytics. #J-18808-Ljbffr ...

team additionally supports subject matter experts in research to develop new pricing algorithms and approaches in validating pricing accuracy through the use of standard statistical models as well as cutting edge AI systems. What are we looking for?**Basic Qualifications/Requirements:*** 3+ years of professional experience in software ...

Field Data Science team https://www.sylvera.com/research is pioneering new approaches to forest carbon measurement. Traditional methods rely on allometric equations—statistical models that estimate carbon storage based on tree measurements—but these can introduce significant uncertainties. Our team has developed innovative multi-scale lidar methods ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

date with emerging trends and tooling and sharing updates within and outside of the team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software … hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience. You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

team, championing robust experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval ...

UTXO and EVM blockchains. You will own multiple production data-science projects and shape technical direction from prototype to production. You’ll apply advanced statistical models, graph algorithms, and ML to large-scale on-chain data, while mentoring peers and collaborating across Research, Intelligence, Product, and Engineering to deliver ...

Funding Circle Ltd. is seeking a Data Scientist in London (Hybrid) to develop and deploy statistical and machine learning models for our lending platform. You will work with data engineers, analysts and business stakeholders to drive value and expand borrower products. The role emphasizes end-to-end modeling, exploration ...

research, and expert-level proficiency in Python. You will collaborate closely with Product, Engineering, and Clinical teams to develop and implement advanced ML and statistical models. This position offers the opportunity to shape a groundbreaking healthcare AI solution within a fast-paced environment, alongside industry leaders. #J-18808-Ljbffr ...

quantitative discipline is preferred. Strong proficiency in Python and experience with databases like SQL or KDB. Solid forecasting and statistical modeling skills. Ability to work with diverse data sources. Capable of managing multiple projects in a fast-paced environment. Excellent communication skills, both written and verbal. What ...

value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTSAdvance degree (Masters or Ph.D. ...

value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. Requirements Advance degree (Masters or Ph.D. ...

date with emerging trends and tooling and sharing updates within and outside of the team. You'll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithmsImplementing ethically sound models end-to-end and applying software engineering … hold an undergraduate or a master's degree in a quantitative discipline, or evidence of equivalent practical experience. You'll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

that values correctness and reproducibility over volume, and it sits close to the product leads who shape the methodology. What you'll do Develop statistical models of stock price movements and estimate the performance of thematic trends. Construct and back-test factor risk models, decomposing stock returns into thematic … research reproducible, so that any published output can be re-run exactly, including after backfills and restatements. Work with the pipelines team to take modelling decisions into daily production. Essential Strong production Python. Factor risk models and portfolio attribution in depth: cross-sectional regression, covariance estimation and shrinkage ...

varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes. You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical … contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets ...

Applied AI Machine Learning VP (Fraud Modelling) in the ICB Risk Modelling team, you will play a crucial role in developing and managing machine learning models used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal, Compliance, Business … preventing fraudulent activities. Job ResponsibilitiesDevelop and manage proprietary fraud models and perform due diligence for vendor models. Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints. Work closely with platform engineers to support model deployment. Prepare complete governance ...

have at least 5 years of relevant experience and an advanced degree in a quantitative discipline such as Mathematics or Statistics. Strong skills in statistical modelling and familiarity with Python are essential. This position offers the opportunity to work with cutting-edge technology and collaborate with experts ...

Mustard Systems, we leverage statistical modelling to make informed predictions about cricket matches and use custom-built trading software to capitalise on opportunities in the market. We believe there is significant potential for growth by expanding and improving our market access, and we are looking for an experienced ...

hedge fund. PhD or MS in a quant discipline preferred. Strong proficiency in Python; experience with databases (SQL, KDB etc.). Strong forecasting/statistical modelling skills. Comfortable combining disparate and diverse data sources. Balancing multiple projects in a fast-paced environment; works independently and on a team. ...

hedge fund* PhD or MS in a quant discipline preferred* Strong proficiency in Python; experience with databases (SQL, KDB etc.)* Strong forecasting/statistical modelling skills* Comfortable combining disparate and diverse data sources* Balancing multiple projects in a fast-paced environment; works independently and on a teamAll qualified ...

data into decision-ready insights at scale, collaborating with product, analytics, and business partners to refine how Spotify plans and delivers. You will apply statistical models and machine learning, build data models and dashboards, and develop narratives that explain the why behind the numbers. #J-18808-Ljbffr ...

Associates in London seeks an analytics professional to join the Decision Analytics Associates team. You will develop and apply advanced statistical models, leverage data to guide client decisions, and communicate insights to both client and internal teams. The role requires a quantitative degree and proficiency in R, SAS, Tableau ...