376 to 400 of 1,199 Statistics Jobs in England

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 More ❯

and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. A passion 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 ❯

to write in SQL a plus, or willingness to learn Ability to use Tableau a plus, or willingness to learn Bachelor's degree in Statistics, Computer Science, Economics, Mathematics a plus Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds More ❯

etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes Core Behaviours Be Customer Focused: Constantly improving our customers' experience Be Human: Acting with humanity and More ❯

etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes Core Behaviours Be Customer Focused: Constantly improving our customers’ experience Be Human: Acting with humanity and More ❯

Gaming Proficiency in SQL and MS Office Knowledge of visualization tools (Tableau) and risk systems (Feedzai, ThreatMetrix) Bachelor's degree in Business Administration, Economics, Statistics, Cyber Security, or equivalent experience Strong analytical skills with keen attention to detail Effective communication and problem-solving abilities Familiarity with risk systems and fraud More ❯

structured reasoning to support informed decision-making and desired outcomes Degree or equivalent experience in a relevant field (e.g., Computer Science, AI, Data Science, Statistics, Machine Learning, Engineering) Preferred Qualifications Experience managing a team, or of line management Knowledge of the EU AI Act and its obligations, and/or More ❯

cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged A track record of scoping and delivering projects More ❯

years of experience in data science, with a strong record of delivering models into production Deep experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Experience with More ❯

a preference for those commonly used in machine learning or scientific computing such as Python or C++). Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework. Experience exploring, analysing and visualising data. Experience using Jax, PyTorch, TensorFlow, NumPy, Pandas or similar ML/ More ❯

Building technical capability in the team and organisation. In addition, you will also need the following experience, including but not limited to: Applied maths, statistics and scientific practices, including a range of scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions. Confidence using analytical More ❯

with a geographically distributed team in an extremely fast-paced and challenging environment. Graduate degree in Computer Science, Mathematics, Operational Research, Information Science, Engineering, Statistics is preferred. Certification or exposure to Cloud essentials, SQL, Visualization tools, Advanced Analytics techniques is preferred. Self-driven individuals with an appetite for rapid career More ❯

world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how More ❯

issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs More ❯

years, or to be completed within the upcoming 6 months) in computer science, artificial intelligence, neuroscience, biomedical science, electrical engineering, biomedical engineering, biostatistics, statistics, mathematics, or related disciplines. Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machine learning models. More ❯

a related field, with demonstrated success in deploying machine learning models into production environments. Strong academic background in a quantitative discipline (e.g., machine learning, statistics, mathematics) or equivalent industry experience. Expertise in translating complex machine learning algorithms into scalable, production-quality code, with proficiency in Python and a strong understanding More ❯

hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The More ❯

backgrounds A large wider community of data scientists, analysts and engineers to share knowledge and learn new skills and approaches; for example technical capabilities, statistics, tooling, business processes Mentoring from data science managers Personal development opportunities including peer training, online internal and external self-development tools, conference attendance etc. Date More ❯

backgrounds A large wider community of data scientists, analysts and engineers to share knowledge and learn new skills and approaches; for example technical capabilities, statistics, tooling, business processes Mentoring from data science managers Personal development opportunities including peer training, online internal and external self-development tools, conference attendance etc. Date More ❯

acquisition solutions, will be integral to your success in this role. Responsibilities Develop high-quality test method documents Define equipment and setup requirements Apply statistics tools to demonstrate method capabilities Adhere to governance processes Plan and execute experimental testing; designing ad-hoc setups for investigative tests that require novel, creative More ❯

large relational customer database, identifying relevant data sources and summarising to provide the insight as identified. Highly numerate with a Degree in Mathematics/Statistics or equivalent with high numerate content. Ability to resolve data-related problems. Comfortable working with a product backlog and self-organising to deliver it. Highly More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can demonstrate good problem-solving skills and understanding of consumer behaviour. You have the capacity to work and learn quickly in a fast More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can demonstrate good problem-solving skills and understanding of consumer behaviour. You have the capacity to work and learn quickly in a fast More ❯

difficult dynamics, and be an advocate for the team externally to can manage differing perspectives. Excellent analytical, IT Keyboard and numerical skills - confident with statistics and their presentation. Excellent verbal and written communication (including presentation) skills. Ability to analyse highly complex issues where material is conflicting and drawn from multiple More ❯