26 to 38 of 38 Remote/Hybrid Statistical Modelling Jobs

combines deep technical MMM expertise with strong client-facing and stakeholder management skills. The Role You'll lead the delivery of Marketing Mix Modelling (MMM) projects for a range of clients, while helping shape the direction and capabilities of a growing data science team. Key responsibilities include: Designing, building … impact Ensuring models are robust, reliable and commercially relevant Acting as a trusted advisor to clients, presenting insights and strategic recommendations Balancing hands-on modelling work with project leadership and stakeholder engagement Mentoring and managing junior team members Contributing to the growth and development of the wider data science ...

Manager, Data Science to join a growing UK-based data team. This is an opportunity to work with leading brands, delivering advanced Marketing Mix Modelling (MMM) projects that help clients understand what really drives business performance. The Role You'll play a key role in building and delivering … facing delivery About You Around 3+ years' experience in Data Science, Analytics or Marketing Science Strong Python skills Practical experience with MMM methodologies and statistical modelling Familiarity with open-source MMM frameworks (Meridian, Robyn, PyMC or similar) Comfortable working directly with clients and presenting insights Agency or marketing ...

Hours: 37.5/week An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within … comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test ...

such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide 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 ...

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 ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you'll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze's Marketing Mix Modelling programme, ensuring outputs directly ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you\'ll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze\'s Marketing Mix Modelling programme, ensuring outputs directly ...

productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Deliver high-impact strategic insights on market opportunity sizing and customer propensity … strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling. Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance. Experience ...

Lead product analytics projects from problem definition through to recommendation Design, analyse and evaluate A/B tests and experimentation frameworks Apply statistical techniques and modelling to solve product challenges Analyse customer and user behaviour using rich event-level data Partner with Product Managers, Engineers, Marketing and senior … Skills & Experience Strong SQL skills Python (PySpark experience is beneficial) Experience in Product Analytics Strong knowledge of A/B testing and experimentation Excellent statistical analysis skills, with exposure to modelling techniques Experience analysing behavioural or digital product data Ability to communicate insights to both technical ...

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/ ...

world relevance of AI-powered data science solutions. What You Will Do Review and refine AI-generated outputs related to data science, machine learning, statistical modeling, and practical aspects of deploying data-driven solutions Evaluate AI responses for accuracy, application of statistical and machine learning methods, and compliance ...