51 to 75 of 121 Statistical Modelling Jobs in London

requirements.Desirable:· Knowledge and understanding of the cell and gene therapy industry. · Experience designing and implementing system integrations using APIs and integration frameworks.· Experience with statistical modelling, DoE, multivariate data analysis and process analytics, including applications such as JMP.· Proficiency in programming skills in languages such as Python.Skills ...

years) in liquidity risk analytics, treasury functions, or financial risk management within a large financial institution. Strong quantitative and analytical skills, with proficiency in statistical modeling, data analysis, and financial risk frameworks. Experience with liquidity risk regulations and frameworks (e.g., LCR, NSFR, Basel III). Proficiency in data tools ...

large-scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments)Familiarity with distributed computing frameworks and techniques for scaling numerical workloadsKnowledge of statistical modeling, Monte Carlo simulation, and time-series forecasting methodologiesAbility to work effectively with large datasets and practical knowledge of SQL and database systemsProven ability ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

models, training re-rankers.Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.Deep understanding ...

Analytics, or a related quantitative field. Experience within financial services, lending, insurance, or a similarly regulated environment. Strong Python and SQL skills. Knowledge of statistical modelling and machine learning techniques. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. BENEFITS The successful Data Scientist ...

testing techniques.Experience developing charting and data visualizations.Desirable:Experience in building ad hoc ETL processesKnowledge and understanding of LavaStorm or Dataverse.Experience in ad hoc statistical modelling and toolsKnowledge of Salesforce data model would be an advantage.Knowledge of N-Printing an advantage.Knowledge of R or Python.MS Visual Studio.This ...

multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis. Exposure to foundation model development or perturbation prediction models. A background in statistical modelling and algorithm development. Experience working in interdisciplinary teams. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing ...

sources using Python, R, SQL, Excel, or other tools. - Conduct analyses related to consumer behaviour, market trends, and campaign performance. - Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). -Develop dashboards, charts, and- visualizations to communicate insights effectively … Share best practices within the team and contribute to knowledge-sharing initiatives. - Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. - Actively participate in office meetings, training sessions, and team initiatives. - Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

models, analysing complex datasets and providing insights that support commercial decision-making. You'll work on a variety of technical projects, helping to enhance modelling approaches, communicate findings to stakeholders and contribute to the development of pricing solutions.Candidate requirements:The ideal candidate will have a strong STEM academic background … degree or above), with a PhD or research-based Masters highly desirable. You should have strong analytical skills, experience in statistical modelling or data analysis, and programming experience in Python or R.If you're interested in finding out more, please get in touch via email - matt.morgan@eamesconsulting.com .Eames ...

deliver data-driven solutions Identify trends, patterns and opportunities through advanced analysis Present findings and recommendations to stakeholders Support the continuous improvement of modelling approaches and analytical processes Skills & Experience Active SC Clearance (mandatory) Strong experience in Data Science and Analytical Modelling Experience working with complex, large-scale … datasets Strong Python and data analysis capabilities Experience with machine learning and statistical modelling techniques Ability to communicate technical findings to both technical and non-technical audiences Experience working within cross-functional teams, including engineering and reporting/MI functions Contract Details Contract Length: 6 months Day Rate ...

Python or equivalent tools to analyse data, develop models or build AI-enabled solutions.Understanding of common data science and machine learning approaches, such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different …/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness, explainability, transparency, robustness, privacy, security and human oversight.Working in secure, sensitive or mission ...

financial servicesExperience conducting root cause investigations and applying problem management methodologies to understand why issues occur and to prevent recurrenceProficient in Trend Analysis and statistical modelling to predict system failuresProven extensive experience leading Event, Incident, Problem and Change management teams/departments with demonstrable proactive functional enhancement ...

Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant ...

product roadmap to regulatory positioning. You will work with genuine autonomy across the full arc of a study, from design and SQL extraction through statistical modelling and peer-reviewed submission, and you will see your work presented at international conferences and high impactful journals.What you’ll doDesign … Digital HealthExtract and clean large-scale clinical datasets using SQL and BigQuery, building reproducible, auditable pipelines from raw data to analysis-ready tablesConduct advanced statistical analysis in R and/or Python, including MMRM, mixed-effects models, survival analysis, and causal inference methods such as IPTW and propensity scoringLead ...

delivering and operating production-grade models within financial services or other highly regulated, high-availability environments.Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle.Strong hands-on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value.Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences.Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional ...

largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions. This is a highly commercial, client-facing position where you'll own analytical projects … senior stakeholders while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using ...

abilities. Additional desirable Qualifications for Quantitative analyst Knowledge of Q/KDB+ Familiarity with Linux environments and Bash scripting. Additional knowledge of quantitative methods, statistical modelling, or financial markets would be advantageous. If you are interested, then please apply and we can get it contact! Reference: AMC/ ...

solutions in a financial services contextExperience integrating AI solutions with enterprise operational platforms, accounting engines, and data infrastructure at scaleQuantitative Skills — experience applying statistical modelling, data science, or quantitative analysis to financial or operational problems and to determine true impact of capabilitiesWhat we can offer youYou will work ...

Using proprietary tools and techniques to prep, mine and format customer data, analyze, produce models to develop insight dashboards and customer presentations.Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics.Collaborate as part of a team to drive analyses and insights, walking customers through ...

stay ahead of the curve.We're Looking ForStrong analytical and quantitative skills with the ability to translate findings into clear recommendations.2+ years experience building statistical models in Python and extracting/manipulating data in SQL.2:1 or higher in a quantitative degree from a top university.Someone who takes ownership ...

forward pricing points for illiquid locations/commodities.Implements algorithms in Matlab and SQL.Updates related documentation.Performs analysis and modeling including developing quantitative/analytic/statistical models.With the team, ensures proper publication of curves every day.Responds to client requests/enquiries for data and analysis.Experience Required:Proven work experience performing ...

seeking sponsorship*Job SummaryPython Engineer is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used ...

Deep Learning within commercial environments You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets.What's in it for you:Up to 150k ...