351 to 375 of 836 Statistics Jobs in the UK

and experience: A or A grades in Mathematics and other numerate A-levels. 2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder More ❯

of key reporting metrics (KPI's) and narratives to help business partners understand areas of growth as well as opportunity for engagement. BASIC QUALIFICATIONS Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance). Experience in tax, finance or a related analytical field. Experience applying 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 ❯

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing the ML model More ❯

architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage More ❯

drug design solutions. Translate research and applications to maintainable software systems Contribute to the scientific community by writing patents/journal articles and presenting at conferences Translate insights from statistics, multimodal data analysis, and ML to actionable and testable drug discovery hypothesis This is an opportunity to directly contribute to the discovery of novel innovative medicines by applying computational chemistry More ❯

drug design solutions. Translate research and applications to maintainable software systems Contribute to the scientific community by writing patents/journal articles and presenting at conferences Translate insights from statistics, multimodal data analysis, and ML to actionable and testable drug discovery hypothesis This is an opportunity to directly contribute to the discovery of novel innovative medicines by applying computational chemistry More ❯

Science, Operations Research, Math, Physics or Statistics. Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code. Background in Probability, Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models is desirable. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders More ❯

learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza's capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. The role is also expected to manage collaborations and act as mentor for more junior team members. What you'll do More ❯

libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective More ❯

with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to adapt to technical More ❯

technical and business perspective Experience building products that make use of a breadth of different on-chain data A Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics); MBA or Master’s degree in a technical field is a plus Knowledge of financial markets, cryptocurrencies, and blockchain Fluency in English Characteristics of a successful Product Manager More ❯

technical and business perspective Experience building products that make use of a breadth of different on-chain data A Bachelor’s degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics); MBA or Master’s degree in a technical field is a plus Knowledge of financial markets, cryptocurrencies, and blockchain Fluency in English Characteristics of a successful Product Manager More ❯

The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy. Expertise in causal inference methods and More ❯

Graphcore to help define, build and test Graphcore's next generation of AI hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable More ❯

Graphcore to help define, build and test Graphcore's next generation of AI hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable More ❯

actionable. Who we're looking for Knowledge Designing Kimball/star schema data models. Agile Methodology. Solar and BESS knowledge (Desirable) Qualifications Bachelor's degree in computer science, mathematics, statistics or engineering discipline. Microsoft Power BI Certification. Experience High level of experience with Power BI. Previous experience in designing, delivering, and maintaining self-serve reporting and analytics solutions over multiple More ❯

modeling. Ensure data integrity, user adoption, and alignment with broader analytics and reporting frameworks. SKILLS You should have Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business, or a related field. 8+ years of experience in data and analytics roles, with at least 3 years in a leadership position. Proven track record of building and scaling More ❯

technical and non-technical. Learn quickly and continuously – from new tools and techniques to client domains and business challenges. What You’ll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals – either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯

technical and non-technical. Learn quickly and continuously – from new tools and techniques to client domains and business challenges. What You’ll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals – either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯

tools to ensure data quality and accurate calculation results What we'll need from you A bachelor's degree or higher in a quantitative field such as financial mathematics, statistics, engineering, physics, or economics Knowledge of banking credit risk concepts, specifically as relates to stress testing Excellent verbal, written, and interpersonal communication skills Experience working within enterprise solution development environment More ❯

various sources Build and maintain documentation for reporting processes, metrics definitions, and data models Qualifications Desired skills and competencies Bachelor's degree in a relevant field (e.g., Data Analytics, Statistics, Human Resources, Business, or related field) 3 years of experience in data analysis, preferably in an HR context Strong proficiency with data analysis tools (e.g., Excel, SQL, Power BI) Excellent More ❯

quantitative models into broader business processes. What qualifications or skills should you possess in this role? Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field. Strong programming skills in Python, with experience bringing code to production. Solid understanding of structured products and their mechanics. Strong mathematical and More ❯