1 to 25 of 33 Remote/Hybrid Statistical Modelling Jobs in London

Instagram and X!Your New Role...We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio.This role sits at the intersection of statistical modelling … translated into robust, defensible insight for clients and internal stakeholders.This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant.Your Role Accountabilities...Own ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

doSolve the hard problems Take on ambiguous, high-value problems across customer understanding, personalisation, optimisation and decisioning.Advance techniques used across the team (uplift modelling, optimisation, causal inference, recommendations, real-time decisioning).Set us up for successDefine and embed best practice across modelling, experimentation, deployment, and model lifecycle management.Drive … immediate value, future value, and technical rigour.A strong ability to communicate ideas to audiences of varying technical background and seniority.Data Science expertiseStrong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference, experimentation, optimisation and decisioningStrong understanding ...

trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. … This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What ...

experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy and statistical modelling expertise Excellent written and verbal communication skills You will be an experienced data professional who will bring strong technical expertise in data … science, machine learning and advanced analytics, with extensive experience using Python, SQL or Spark SQL, statistical modelling, natural language processing and large language models. You will have experience across the full machine learning lifecycle, including data cleaning, quality checks, model development, evaluation and deployment. You will also ...

benefit decision-making Our People Planning & Analytics team is looking for a new colleague who wants to contribute with solid experience in data analysis, statistical modelling and machine learning to contribute towards talent optimization, workforce planning and overall People Analytics.Please note: This role is based in London … support relocation.Core ResponsibilitiesUtilize statistical techniques to extract meaningful insights from diverse datasets related to candidate sourcing, application processes, employee onboarding, and end-to-end employee life cycle.Develop predictive models to forecast future talent needs, attrition rates, and identify potential recruitment challenges.Collaborate with HR and recruitment teams to identify opportunities ...

machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will … develop bespoke AI solutions.Drive automation and optimisation of business workflows, helping clients to drive efficiency.Connect to your skills and professional experience EssentialStrong understanding of statistical modelling, supervised/unsupervised machine learning algorithms.Can explain how the models work to non-technical audiences, advocating for interpretability and audit best practices.Experience ...

business decisions and operations efficiency through data analytics.Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial, operational and business data.Data modelling for reporting and analytics.Development and deployment of data visualizations and reports for management and internal business partners.Present ideas and solutions to business and technical … Tools.YOUR PROFILE:Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, ETL processes.The successful candidate will be practiced in the hands-on development of software or analytics solutions.Minimum of 3 years of experience working on projects related ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making.What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation ...

experience with Python and popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn.Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Experience with cloud computing platforms (e.g., AWS, Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation and analysis ...

Investments, Distribution, Product, Client, and other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends … informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...