101 to 125 of 1,157 Statistics Jobs in England

/undergraduate degree. Preferred Education: Master's or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About the Graduate Program: As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our business, exploring opportunities for career advancement, and More ❯

of the Data Science team, including learning pathways, best practices, and innovation. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or similar technical field/experience Hands-on data science expertise with code-based model development e.g. R, Python Strong knowledge of deploying end-to-end machine learning models More ❯

project management skills What You'll Bring Master's Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field. 2 years+ of relevant work experience. Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and More ❯

comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

rigorous code reviews, documentation as 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 like Airflow, Dagster, or Luigi. More ❯

patient stratification, and disease insights. Effectively communicate highly technical methods and results to diverse audiences and partners, enabling informed decision-making. Qualifications PhD degree in a quantitative field like statistics, computer science, artificial intelligence, applied mathematics, electrical engineering, or a related area. Equivalent experience will also be considered. Demonstrated experience in driving research and applying Computer Vision techniques, including Transformers More ❯

Experience with MLOps tools and best practices for model deployment, monitoring, and governance. Education and Experience: Bachelor's or Master's, or equivalent degree in Computer Science, Data Science, Statistics, or a related field, or equivalent. Hands-on experience in developing and deploying AI solutions in a professional setting. Deep experience in the financial services industry. Relevant industry certifications (e.g. More ❯

technical stakeholders. • Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. • Education: • Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred (Nice-to-Have) • Prior experience in a stealth More ❯

you are: Highly numerate graduate or junior analyst with a STEM or financial background. This could include qualifications such as a BSc, MSc, or PhD in areas like mathematics, statistics, chemistry, physics, economics, or finance, but other relevant qualifications or experience will also be considered. Analytical thinker with a natural aptitude for identifying patterns and deriving meaningful insights from data More ❯

Job Description Summary GE Aerospace is seeking a highly skilled and motivated Data Analytics and Reliability Engineer to join our team. In this role, you will be responsible for driving data validation, automation strategies, and predictive analytics initiatives to support More ❯

Interact with technology groups for production implementation design. Contribute to the core quantitative library used by the organization. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics, particularly time More ❯

verbal) solutions and methodologies to senior leadership Work with engineering teams to enable the appropriate capture and storage of data. - Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline. - 8+ years of experience in using quantitative analysis. - Experience with all of the following preferred: Ruby, Perl, Oracle, Redshift, SQL, Python - Master's degree in statistics, data More ❯

will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯

will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯

deployment Write proposals for exciting new data science opportunities Line manage and provide career mentorship to other data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data … analysis techniques to draw insight from complex data, using tools such as Python and SQL Experience of successfully mentoring and managing data science teams Strong foundations in mathematics and statistics Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and More ❯

on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate … and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models in real More ❯

s analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 8+ years of experience as a Business Intelligence Engineer or similar senior-level role - Proven expertise in designing and implementing complex, large … solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 8+ years of experience as a Business Intelligence Engineer or similar senior-level role - Proven expertise in designing and implementing complex, large More ❯

s analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large … solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large More ❯

/2025 Learning Provider Delivered by NORTHEASTERN UNIVERSITY-LONDON Employer Homes England Vacancy Description Essential Criteria •Either a degree in a maths or science subject, or demonstrable experience in statistics, data and analysis •You will have a good understanding of statistics, such as distributions, hypothesis testing and regression. •Experience of or a willingness to learn coding languages, particularly sql and More ❯

the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest More ❯

the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest More ❯

presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement More ❯

presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement More ❯

data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving skills. Good communication skills, ability to deliver complex problems in a simplified way. Mason Blake acts as an employment agency for permanent More ❯

integration. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD or Master's degree in computer science, Machine Learning, Statistics, Computational Biology, or a related quantitative field. Extensive experience in AI/ML engineering. Demonstrated experience working closely with business stakeholders in R&D, translating complex scientific challenges into AI … Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience building and deploying models in cloud environments (e.g. Azure, GCP). Solid understanding of statistics, optimization, and experimental design. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Prior experience in pharmaceutical More ❯