9 of 9 Statistical Modelling Jobs in the Thames Valley

in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI More ❯

Azure Data Analytics. Proven background in Energy Utilities, especially Smart Metering. Strong analytical skills with a knack for pattern identification and interpretation. Expertise in statistical methods and data modeling. Proficient in SQL, Python or R. Deep knowledge of Azure tools: Azure Synapse Analytics Azure Data Factory Azure Data Lake More ❯

Azure Data Analytics. Proven background in Energy Utilities, especially Smart Metering. Strong analytical skills with a knack for pattern identification and interpretation. Expertise in statistical methods and data modeling. Proficient in SQL, Python or R. Deep knowledge of Azure tools: Azure Synapse Analytics Azure Data Factory Azure Data Lake More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both More ❯

the ability to identify patterns and draw insightful conclusions. - In-depth knowledge of the Energy Utilities industry, particularly in Smart Metering processes. - Proficiency in statistical methods and data modelling techniques. - Hands-on experience with Python or R for data manipulation and analysis. - Strong SQL skills for querying and More ❯

the ability to identify patterns and draw insightful conclusions. - In-depth knowledge of the Energy Utilities industry, particularly in Smart Metering processes. - Proficiency in statistical methods and data modelling techniques. - Hands-on experience with Python or R for data manipulation and analysis. - Strong SQL skills for querying and More ❯