16 of 16 Permanent Statistics Jobs in Doncaster

and accuracy by regularly validating and cleaning sets. Please apply if any of the following apply to you: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in data visualization tools such More ❯

SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences, or Statistics). Some experience with clinical data and reporting tools in a regulated environment. Base Level (1–3 years): Experience in a clinical trial or regulated More ❯

who enjoys working with data to uncover trends and inform decisions. The ideal candidate will bring: A background in a relevant area such as Statistics, Economics, Computer Science, Mathematics, Business, or any related discipline Comfortable using Microsoft Excel for organizing and analyzing data Some familiarity with SQL or a strong More ❯

You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy). Comfort working in a collaborative, cross-functional environment. Please note More ❯

contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record More ❯

interpreted. Assist in creating dashboards and visualizations for decision-making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects More ❯

and statistical models. Accessing API integration of different software, working with databases and supporting the revenue team with their data analysis requirements. Skills & Experience Statistics Data Science Modelling - Linear Regression, Attribution... Python Web Scraping would be ideal Interest or Background in Finance Masters Degree of equivalent in a relevant industry More ❯

A strong track record of alpha and Sharpe of 1.5+ Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. More ❯

maintain macros, and perform data integrity checks, while ensuring proper documentation and compliance with SOPs. What you will need: A Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R More ❯

directly into X360’s live environment. What makes you a fit Master’s or PhD (completed or in-progress) in AI, Applied Math, OR, Statistics, or related field. Fluency in Python , plus at least one other data-engineering/scientific language or framework Demonstrated ability to translate research into impact More ❯

. · Managing your workload, including developing and following process documents that sit within the Analytics team. Essential skills and experience... · MSc or PhD in Statistics, Biostatistics, Data Science, or another demonstrably relevant field. · Proven knowledge of the R environment. · Demonstrated high degree of technical competence and effective communication skills, both … academic roles, or roles with developers, manufacturers, or in consulting, and related evidence development. · Knowledge of experimental and real-world evidence study design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming. · Knowledge of methodologies for handling missing data, confounding, and bias, among other challenges, within observational studies. · Experience of More ❯

wealth management sector. What You’ll Bring: Expert-level T-SQL skills (Stored Procedures, Views, Triggers, UDFs) Deep understanding of SQL Server internals (indexes, statistics, metadata) Strong performance tuning and SQL refactoring expertise Experience with SQL CLRs, SSRS, and Power BI Excellent communication and a proactive mindset What You’ll More ❯

ideally in the gaming or gambling sector. Proficiency in Python and experience building game logic or high-throughput backend services. Understanding of probability and statistics as applied to game mechanics. Familiarity with secure server development and performance optimisation. Excellent communication skills and ability to work independently in a remote-first More ❯

root cause of issues. Design, troubleshoot and maintain cloud-based firewalls in Azure, AWS, etc. Monitor and test network performance and provide network performance statistics and reports Perform on-site analysis, diagnosis, and resolution of complex network problems for a variety of network incidents and recommend and implement corrective hardware More ❯

Prevention Manager will oversee and manage the organization's data loss prevention strategies and technologies. The role involves executive reporting, building out reports, gathering statistics, future budgeting, leadership, and the ability to communicate technical information to both technical and non-technical audiences. Good vendor management experience is essential, including making More ❯

for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, data science, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within … projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area More ❯