51 to 75 of 167 Bayesian Methods Jobs in the UK

Science Consultant. The successful candidate will be a key player in developing and implementing advanced pricing and marketing optimization models, leveraging Bayesian statistics, causal inference, econometric methods, and Python to deliver impactful insights in the CPG domain. Responsibilities Design and build sophisticated pricing and marketing optimization models using Bayesian, causal inference, and econometric … Mathematics) Minimum of 5 years of experience in a data science role focused on pricing and marketing optimization Proven expertise in Bayesian, causal inference, and econometric methods Strong proficiency in Python and experience deploying models to production Experience with cloud platforms, preferably Azure, Databricks, MLFlow, Airflow, and Plotly Dash Nice to have PhD in a relevant More ❯

The successful candidate will play a key role in developing and implementing advanced pricing and marketing optimization models, leveraging expertise in Bayesian statistics, causal inference, econometric methods, and proficiency in Python to deliver impactful insights in the CPG domain. Responsibilities Design and build sophisticated pricing and marketing optimization models using Bayesian, causal inference … Computer Science, Statistics, Physics, Mathematics) Minimum 5 years of experience in data science, focusing on pricing and marketing optimization Expertise in Bayesian, causal inference, and econometric methods Strong proficiency in Python and experience deploying models Experience with cloud platforms, preferably Azure, Databricks, MLFlow, Airflow, and Plotly Dash Nice to Have PhD in a relevant field Experience More ❯

The successful candidate will be a key player in developing and implementing advanced pricing and marketing optimization models, leveraging expertise in Bayesian statistics, causal inference, econometric methods, and proficiency in Python, specifically in the CPG (Consumer Packaged Goods) domain. Responsibilities Design and build sophisticated pricing and marketing optimization models using Bayesian, causal inference … of 5 years of experience in a data science role with a focus on pricing and marketing optimization Proven expertise in Bayesian, causal inference, and econometric methods Strong proficiency in Python and experience in taking models to production Experience with cloud computing platforms, preferably Azure, and tools such as Databricks, MLFlow, Airflow, and Plotly Dash Nice More ❯

BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog: Image catergorisation Moving to a A(/B) Bayesian World Scoring adverts quickly but fairly Life Cycle of Our Package Uplift Model What … We're Looking For Experience delivering data-science solutions in a commercial or research (e.g. PhD) environment A strong understanding of Data Science techniques, including ML algorithms and statistical methods Proficient in building ML pipelines with Python An enthusiasm for engaging with non-technical stakeholders and establishing scientific rigour in teams Experience collaborating on Data Science projects and working More ❯

Who You Are Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch … Experience in cell health and rejuvenation-related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber More ❯

Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch … Experience in cell health and rejuvenation-related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber More ❯

Skills and Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with More ❯

business stakeholders to scope and define projects. Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments. Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with Amazon Sagemaker and its various features used More ❯

Skills and Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with More ❯

science, with a strong foundation in machine learning and statistical modeling. Experience developing LSTM-based models for sequential forecasting or behavioral modeling. Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to More ❯

Skills and Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with More ❯

Skills and Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with More ❯

mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an More ❯

magnetometry technology that will solve pressing challenges in aeronautical positioning and navigation, geophysical surveying, and magnetic anomaly detection. A key focus of the role will be developing and implementing methods for removing magnetic and/or vibrational noise induced by the platform on which the quantum sensor is mounted. The algorithms, signal processing, automation, and data analytics you develop … analysis and develop platform and environmental noise compensation techniques that enable high quality magnetic- and gravity-aided navigation using state-of-the-art digital signal processing and machine learning methods; Use data analytics to translate quantum sensor data streams into capabilities that solve pressing challenges for current and prospective end-users and customers; Work closely with other Research and … and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising; quantum sensing and/or other sensing technologies. Knowledge and experience of machine learning methods to time series data including generative modelling. Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development precepts. Experience communicating More ❯

analytics or media environments. 💡 Bonus Points For: Experience working with large datasets or cloud platforms (e.g. GCP/Big Query). Exposure to advanced analytics approaches such as Bayesian or non-regression models. Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian). Data viz skills in Power BI, Tableau, or Data Studio. A background in More ❯

analytics or media environments. 💡 Bonus Points For: Experience working with large datasets or cloud platforms (e.g. GCP/Big Query). Exposure to advanced analytics approaches such as Bayesian or non-regression models. Familiarity with marketing measurement tools or platforms (e.g. Robyn, Meridian). Data viz skills in Power BI, Tableau, or Data Studio. A background in More ❯

United Kingdom 6 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago London, England, United Kingdom 3 weeks ago Research Engineer - Bayesian Optimisation (Contractor) London, England, United Kingdom 1 year ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom More ❯

Kingdom, Germany, or Italy Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Work towards long-term research goals, while identifying intermediate milestones Build relationships and collaborate with academics and institutions Explore new data sources and discover techniques … or journals Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience) Good background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization … or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications 2D & 3D Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural networks) Multi-modal deep learning and/or information retrieval Architecture, Construction, Manufacturing, Media More ❯

and computational chemistry for drug discovery. The successful candidate will demonstrate strong abilities in cheminformatics and/or bioinformatics, including knowledge of established techniques and cutting-edge machine learning methods for modeling molecular properties and interactions with complex systems. They will also have experience with scientific programming and data science. These skills will be leveraged within a seasoned, agile … experience including hands-on experience with informatics, machine learning, and computational chemistry applied to drug discovery in the private sector, like biotech or pharma Experience with cheminformatics and bioinformatics methods (e.g., similarity/substructure searching, reaction-based enumeration, sequence alignment, etc.) Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods … high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research An interest in solving scientific problems in chemistry and biology via computational and data-driven methods A drive to cooperate with colleagues to identify problems and communicate technical solutions in an accessible manner Hands-on mentality & comfortable with getting deep into the technical weeds of More ❯

team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to “Make Anything”. Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. … record as a practitioner of ML, creating, training and leading groups that can build and train models at scale Excellent written and oral communication skills Excellent knowledge of Numerical Methods Ability to quickly learn new technologies and adapt to new situations Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects Preferred Qualifications Knowledge … team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to “Make Anything”. Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. More ❯

management Key Experience Strong academic background with a minimum 2:1 Degree in Computer Science (or similar) Strong numerical background with a knowledge of key statistical principles – eg Bayesian and frequentist statistics Experience with multiple programming languages including SQL and Python Familiarity with large language models Understanding of ML algorithms This is an excellent opportunity for a … Graduate Data Scientist who are leaders within the Financial Services industry. CVs are being reviewed, soi please apply now for immediate consideration Nice-to-have skills SQL Python Bayesian Statistics Kings Hill, England Work experience Data Scientist Languages English Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and More ❯

include RNT and SUB_NORM (subtract mean and divide by standard deviation) Be familiar with all regression based options within Rova. For an MMM this includes GLS, CLS, Bayesian MMM and Hierarchical Bayesian. Create response curves and optimization spreadsheet or alternatively use available tools for budget allocation. This requires knowledge of internal tools such as Orca, Chasm More ❯

of our technology solutions. Knowledge, Experience and Qualifications Essential You have experience with some modelling paradigms and techniques such as active learning, transfer learning, agent-based modelling, optimisation, Bayesian inference, entity extraction/resolution, spatio-temporal modelling. Enjoy developing models from first principles and are unbiased in your choice of modelling techniques. Experience across some of the More ❯

Job Description Summary - Understands complex and critical business problems from various stakeholders and functions, formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to solve unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repeated tasks. - Manages the definition, implementation, and adherence to the overall data lifecycle … data science, biostatistics, or a related quantitative field (or equivalent). Over 6 years of experience in clinical drug development with extensive clinical trial exposure. Strong knowledge of statistical methods like time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical More ❯

Strong data analysis skills in Python or R Strong programming skills in Python Prior experience training and analyzing Machine Learning models, e.g. neural networks, transformer architectures, XGBoost models, Bayesian networks, etc The ability to prototype fast to test ideas quickly The ability to reason with data and share insights with relevant stakeholders in a clear way Be More ❯