1 to 25 of 41 Statistics Jobs in Yorkshire

for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Desirable: Experience in a complex, matrixed organisation - retail sector experience is welcome but not required . Experience working with Jira and More ❯

data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise More ❯

commercial initiatives and recommend improvements. · Present findings and recommendations to stakeholders at all levels of the organization. Requirements · Bachelor's degree in Business, Economics, Statistics, Mathematics, or related field. · 2+ years of experience in a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools More ❯

commercial initiatives and recommend improvements. · Present findings and recommendations to stakeholders at all levels of the organization. Requirements · Bachelor's degree in Business, Economics, Statistics, Mathematics, or related field. · 2+ years of experience in a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms More ❯

support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands More ❯

reporting, service transformation or project delivery, as well as qualifications such as Microsoft PL300 , membership of a relevant organisation, or postgraduate study in analytics, statistics or business intelligence. An understanding of NHS priorities and a passion for using data to improve services for children, young people and families will also More ❯

and maintain analytical tools and dashboards Participate in process improvement initiatives Qualifications 2:1 or above degree in one of the following: Data Science, Statistics, Mathematics, or a related analytical field Strong numerical and analytical abilities Experience with coding languages Valid UK driving license Problem-solving mindset Ability to explain More ❯

trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯

latest tracking trends, technologies, and best practices, and share knowledge with the team Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Economics, Business, Mathematics, Computer Science) Experience: 2+ years of experience in a digital analytics role, preferably within a marketing agency Stronger candidates will have 5+ More ❯

as making sure our pipelines/application are cost effective What We Are Looking for From You: University Degree in Computer Science, Information Systems, Statistics, or related field Minimum 7 years of experience in the IT industry with expert knowledge of On-Premise and/or Cloud Data Management technologies. More ❯

appealing and understandable manner and compile and present detailed reports. What you'll be able to offer Educated in the subject of either Mathematics, Statistics, Information Communications Technology, Computer Science or Economics. Hold a qualification in a relevant professional qualification/certificate in Data Science or Data Analytics or willingness More ❯

drive analytical excellence within our front office. Required Skills and Experience: Advanced degree (PhD or MS) in a quantitative subject such as Mathematics, Physics, Statistics, Computer Science, Engineering, or a related field. Proven experience as a front-office quant within energy commodities trading, with a strong focus on quantitative analysis More ❯

and articulate highly complex datasets and analysis concisely. Connect to your skills and professional experience Do you possess the following?: Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Management Information Systems, a Technology-related field, or equivalent education or work-related experience. Experience in information security, in areas More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data analysis, statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning A completed or in-progress Masters and/or PhD is preferred but not required More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

commercial initiatives and recommend improvements. · Present findings and recommendations to stakeholders at all levels of the organization. Requirements · Bachelor's degree in Business, Economics, Statistics, Mathematics, or related field. · 2+ years of experience in a data analysis role with comm... More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

performance br Qualifications: br Fluency in English (native or bilingual level) br Detail-oriented br Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning br A current, in progress, or completed Masters and/or PhD is preferred but not required br Note: Payment More ❯

by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning A completed or in-progress Masters and/or PhD is preferred but not required More ❯