26 to 50 of 128 Bayesian Methods Jobs

pricing models. Turning pricing opportunities into measurable hypotheses, experiments and production changes. Evaluating pricing performance through backtesting, online testing and commercial metrics. Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing. Working with commercial, finance and product teams to understand pricing performance and recommend … code, testing and code review, alongside strong SQL. A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods. Experience designing, running and evaluating pricing experiments using both commercial and statistical measures. ...

technical leadership: mentoring, setting standards, and influencing scientific and technical direction beyond your own projects. Beneficial Skills Practical experience with active learning, Bayesian optimisation, conformal prediction, or uncertainty quantification in iterative real‐world loops. Familiarity with retrosynthesis ML, computer‐aided synthesis planning (CASP), or reaction‐condition/ ...

fast‐paced agile team, ideally using Scrum Nice to have Experience with PyTorch or other deep‐learning libraries An understanding of Bayesian statistics Location: This role is on‐site at our Exeter or Bristol office. As an ambitious, rapidly‐growing start‐up, we’re looking for proactive ...

what questions should be explored next. Key Responsibilities & Skills ** Develop predictive models and forecasts to identify potential future outcomes and emerging trends ** Applying Bayesian modelling, uncertainty estimation and statistical validation ** Carry out segmentation and subgroup analysis to identify meaningful differences and patterns ** Analyse longitudinal and time-series ...

experience in managing installable python packages is very valuable. Proficient SQL and database knowledge and experience. Advanced knowledge of time-series modelling or Bayesian statistics. Experience working with AWS. Experience creating visualisations with Power BI. Proficiency with Git. Experience/proficiency with Docker. Good experience/knowledge ...

Scrum Nice to Have : Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

React; Javascript/Typescript. Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

think in terms of the cost function and inductive biases of your modelsBayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.Time series modelling. You have modelled temporal data where autocorrelation, drift, or seasonality mattered.Python. The stack the team uses.The salaryWe expect ...

required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/ ...

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 ...

Track record of promoting statistical rigour and experimental best practices in your prior roles. Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech) Experience working ...

production.Track record of promoting statistical rigour and experimental best practices in your prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast ...

Stats Background • Outstanding background in probability and statistics • Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models • Programming experience with python, julia or R You will be joining a progressive and exciting company committed to excellence. They offer ...

Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman ML specific skills Stochastic processes: behavior trees, FSMs, MDPs Learning: RL, Bayesian networks (and BBP) Scripting languages: PDDL, RDDL Nice to Haves Experience with SLAM, computer vision applied to UAVs Knowledge of AI safety principles ...

use. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and an interest in applying advanced computational, statistical, and AI methods to solve complex research and business problems. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with … offer visa sponsorship for this position. DEPARTMENT: Statistics and Data Science The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech ...

products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need to do the best work ...

products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce ...

investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time . You'll often be working with data from multiple sources, so experience … 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 ** Ability to work with incomplete ...

investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time . You'll often be working with data from multiple sources, so experience … 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 Ability to work with incomplete ...

investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time . You'll often be working with data from multiple sources, so experience … 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 Ability to work with incomplete ...

international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build … similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data and model outputs into actionable business recommendations. Comfortable handling large datasets, optimizing data pipelines, and delivering ...

and program-level ROI storytelling. Statistical Rigor & Methodology Oversight Act as a credible thought partner to your statisticians: understand the tradeoffs across classical, Bayesian, and causal-inference approaches well enough to review their work, defend it to customers, and know when to push back. Set and enforce … Comfortable partnering with a statistics team - you don't need to derive the models yourself, but you understand classical inference, Bayesian methods, or causal inference well enough to be a credible reviewer and thought partner. Hands-on experience building AI agents or agentic workflows, not just ...

algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production‐grade Python code for both model training and inference. Excited to leverage LLMs ...

supervised ML algorithms, tuning, and performance evaluation.Experience with a range of feature engineering techniques (e.g. target encoding).Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.Experience in writing clean, production-grade Python code for both model training and inference.Excited to leverage LLMs for coding ...