1 to 14 of 14 Statistics Jobs in Berkshire

Senior Data Science - Berkshire/Hybrid - Up to £77K Austin Fraser are working on a Data Engineer requirement for one of our multinational clients who provide innovative systems that improve the efficiency, quality and safety of food production, processing, and more »

to secure reimbursement. In total, the IGES Group employs more than 200 experts from the fields of medicine, economics, natural and social sciences, pharmacy, statistics and informatics. Today, the IGES Group comprises 14 companies at locations in Germany, the United Kingdom, France, Sweden and Switzerland. To strengthen and complement our more »

Computer Science, Computational Biology or a related field in a range of programming languages such as Python or R understanding of starting principles in statistics, data mining and visualisation of biological data (omics, NGS, and assay data) in integrative analysis of multiple omic data types including advanced statistical, machine learning more »

sources to support HTA decision-making Mentoring junior colleagues Contributing to internal training initiatives, process improvement and business development Your profile: A passion for statistics University degree in Statistics/Biostatistics or equivalent knowledge/expertise with proven industrial experience Knowledge of HTA-related statistical methods, including ITC, NMA, and more »

engineering or closely related discipline or equivalent level of experience; An understanding of relevant technical topics which include: nuclear physics, physics of criticality, mathematics, statistics, chemistry and metallurgy of fissile material; Experience of demonstrating good engineering and scientific judgement with extensive experience in using fundamental engineering and scientific skills; Knowledge more »

of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser more »

By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such as more »

of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now more »

data sources to support HTA decision-making. Mentor junior colleagues. Contribute to internal training initiatives, process improvement and business development. Requirements University degree in Statistics/Biostatistics or equivalent knowledge/expertise. Knowledge of HTA-related statistical methods, including ITC, NMA, and complex statistical modelling techniques. Awareness of regulatory standards more »

Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and Machine Learning : run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies. Work closely with the development team, contributing to data/statistics tasks for improving … mining/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machine learning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with statistical more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Access to free perks and discounts through Perkbox Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced more »

organisation and administration of management meetings. Track action points and ensure timely follow-up. Record Keeping: Maintain various records, databases, and dashboards for team statistics (locations, roles, etc.) Approval Monitoring: Monitor approvals for various processes (Shopping Carts, etc.). Vendor Interaction: Interact with vendors and external partners as required. Support more »