20 of 20 Bayesian Methods Jobs

models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms).Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancementsBuild, validate, and deploy econometric and machine … advanced analytics, including proven time in managerial roles.Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference.Experience with open-source MMM frameworks (e.g., LightweightMMM, Robyn, PyMC-based models) Exposure to agent-based media planning, causal ML Experience leading ...

models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms).Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancementsBuild, validate, and deploy econometric and machine … advanced analytics, including proven time in managerial roles.Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference.Experience with open-source MMM frameworks (e.g., LightweightMMM, Robyn, PyMC-based models) Exposure to agent-based media planning, causal ML Experience leading ...

data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such ...

like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder Collaboration : Demonstrated ability to work directly with stakeholders to scope, iterate ...

like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder Collaboration : Demonstrated ability to work directly with stakeholders to scope, iterate ...

development. • Collaborate with engineering to deploy models in high-performance, production environments. • Publish internal technical notes or contribute to external research when appropriate. • Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics … advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages ...

development. • Collaborate with engineering to deploy models in high-performance, production environments. • Publish internal technical notes or contribute to external research when appropriate. • Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics … advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages ...

development. • Collaborate with engineering to deploy models in high-performance, production environments. • Publish internal technical notes or contribute to external research when appropriate. • Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics … advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages ...

learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some ...

behavioural, transactional, and demographic data • Design and build predictive models to enhance personalized customer experiences across all channels • Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness • Monitor and optimize model performance through continuous improvement cycles Technical Implementation • Transform analytical solutions into production-ready code • Implement … metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch ...

behavioural, transactional, and demographic data • Design and build predictive models to enhance personalized customer experiences across all channels • Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness • Monitor and optimize model performance through continuous improvement cycles Technical Implementation • Transform analytical solutions into production-ready code • Implement … metrics Skills ● Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch ...

Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement ...

Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement ...

Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement ...

environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and ...

environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and ...

Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing … training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push ...

cross-functional teams—AI Research, Data Engineering, and Robotics—to integrate models into real systems. Apply adaptive experimentation and Bayesian optimisation methods to guide data acquisition, experiment selection, or sensor-driven decision-making. Ensure engineering-grade code quality, reproducibility, and scalable deployment across compute clusters. Collaborate ...

cross-functional teams—AI Research, Data Engineering, and Robotics—to integrate models into real systems. Apply adaptive experimentation and Bayesian optimisation methods to guide data acquisition, experiment selection, or sensor-driven decision-making. Ensure engineering-grade code quality, reproducibility, and scalable deployment across compute clusters. Collaborate ...

partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches. As the company launches a new AI-driven product, they … and segmentation Automate repeat analytical tasks for trackers and long-running projects Run end-to-end research projects (primarily quant; some qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with ...