1 to 25 of 29 Bayesian Methods Jobs

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 methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Proficiency ...

digital businesses. Experience with Snowflake, Power BI, Tableau or similar analytics tools. Exposure to attribution modelling, marketing mix modelling (MMM), Bayesian methods, or advanced experimentation frameworks. Work Shift Western Union values in‐person collaboration, problem solving, and ideation whenever possible. We believe this fosters common ways ...

digital businesses.* Experience with Snowflake, Power BI, Tableau or similar analytics tools.* Exposure to attribution modelling, marketing mix modelling (MMM), Bayesian methods, or advanced experimentation frameworks.**Work Shift**Western Union values in-person collaboration, problem solving, and ideation whenever possible. We believe this fosters common ways ...

priors) into calibrated probability estimates. Build pricing and edge frameworks: fair value, uncertainty bands, expected value, and model drift/regime diagnostics. Design evaluation methods (proper scoring rules like log loss/Brier score, calibration curves, back-tests with realistic costs and constraints). Trading & Market Design (Applied) Identify … with SQL; experience with streaming systems (Kafka), workflow orchestration (Airflow), and cloud (AWS/GCP/Azure). Experience with Bayesian methods, probabilistic programming (Stan/PyMC), or ensemble methods. Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance. Tech Stack ...

/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML algorithms. Ability to apply state-of-the-art research to real-world problems. Proficiency in operating and ...

Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large datasets, optimise pipelines, and deliver high-quality outputs. Track record of translating complex model ...

Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large datasets, optimise pipelines, and deliver high-quality outputs. Track record of translating complex model ...

Challenge - Winners, multiple Best Paper Awards, and industry recognition. This role focuses on advancing the state-of-the-art in reinforcement learning (RL), Bayesian optimisation (BO), AI agents, large language models (LLMs), and vision-language models (VLMs). Whether your strength lies in fundamental algorithmic research ...

with exposure to statistical modelling or Marketing Mix Modelling Proficiency in Python and experience working with cloud platforms such as GCP Understanding of Bayesian statistics and marketing attribution methodologies Experience with tools such as Meridian, Robyn, PyMC, or similar modelling frameworks Ability to communicate complex technical findings ...

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 ...

and/or R, with strong data analysis and visualization skills and a firm grasp of modern statistics (mixed models, Bayesian methods, etc.) Experience building reproducible and well-documented analysis workflows (Nextflow, Snakemake) and applying sound data organization and metadata practices Demonstrated ability to champion cross ...

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/ ...

exposure to tools such as Meridian, Robyn, or PyMC Proficiency in Python and experience working with cloud platforms such as GCP Understanding of Bayesian statistics and marketing attribution concepts Ability to communicate technical findings clearly to non-technical audiences Interest in applying AI tools to enhance data ...

Python and experience working with open-source MMM frameworks such as Meridian, Robyn, or PyMC Solid understanding of statistical modelling techniques, including Bayesian approaches Experience delivering analytical work in a client-facing or stakeholder-driven environment Ability to assess model quality and clearly communicate findings ...

Looking For Experience with Marketing Mix Modelling or statistical modelling Strong Python skills and experience working with large datasets Understanding of Bayesian statistics and attribution methodologies Experience with tools such as Meridian, Robyn, PyMC, or similar Ability to communicate technical findings clearly to stakeholders Strong attention ...

learn Organised and self-motivated Desired Skills Master’s degree in machine learning, mathematics or statistics Understanding of probabilistic model development Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms ...

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/ ...

Analyst or Data Scientist Minimum 2:1 in a Quantitative subject ideally Masters Experience OR an interest in Modelling – CHAID, Cluster Analysis, Bayesian Algorithms, NN, Experience with visualisation tools would be nice Python and SQL experience ideally - Python a MUST Experience in a Data Science role with ...

Proficiency in Python with experience using open-source MMM frameworks such as Meridian, Robyn, or PyMC Solid grounding in statistical modelling, including Bayesian approaches and media attribution Proven experience working in a client-facing environment, delivering insights to senior stakeholders Experience leading or mentoring data scientists while ...

markets (e.g. UK and Germany). Regulatory submission experience in key markets (e.g. EU and USA). Application of indirect comparison methodology (e.g. Bayesian/Frequentist NMA and MAIC/STC methodologies). Experience of performing adjustment for treatment switching/cross‐over within clinical trials (e.g. ...

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 ...

rich environments Strong statistical knowledge Experience with product analytics and behavioural tracking Experience mentoring or coaching other analysts Nice to have Knowledge of Bayesian or Frequentist experimentation approaches Experience with event-level analytics platforms Predictive analytics exposure The team You'll report into the Analytics Team Lead ...

work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large models — calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training ...

edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background in Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python. This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team. #J ...

your strong analytical and problem-solving skills, you will work with complex real-world datasets from field deployments and apply a combination of Bayesian inference, machine learning , and data-driven modelling techniques to deliver robust, interpretable results. We are looking for a hands-on, experienced data scientist … processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement physics-based models, improve detection sensitivity, and automate performance assessment Take a key role in advancing Mirico’s gas-modelling capability , driving ...