76 to 100 of 393 Statistics Jobs in England

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

Science, Machine Learning or a similar role • Strong Python and SQL skills • Experience building machine learning models in a production environment • Strong understanding of statistics, experimentation and hypothesis testing • Experience with recommendation systems, personalisation or predictive modelling is beneficial • Strong commercial awareness and problem-solving capabilities • Ability to communicate technical ...

audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer ...

facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning ...

experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred. Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/ ...

research rigor, code quality, and reproducibility. Required Qualifications, Capabilities, and Skills Master’s degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience. Solid relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles. Demonstrated expertise ...

communication skills. Excellent data storytelling skills and the ability to explain complex findings clearly. Strong critical-thinking skills. A numerate degree such as Mathematics, Statistics, Economics, Engineering, Physics or a similar discipline. Comfortable working with tables, data and analytical outputs. Experience producing and presenting analysis using tools such as PowerPoint ...

including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command ...

emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least ...

pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics-ready schemas. Demonstrated experience managing relationships with ...

andmaximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning ...

handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and creative problem-solving skills. Qualifications Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant evidence of continuous professional development in automation or AI. Experience Significant experience delivering business process ...

ability to independently lead complex projects from strategy to execution. A proactive, ownership-driven mindset with strong decision-making skills. Bachelor’s degree in Statistics, Computer Science, Engineering, or a related field — Must. Master’s degree — Big Advantage. Why you’ll love being a Similarwebber: You’ll actually love ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

crimes, sanctions, export controls, or related domains 4+ years of experience as a Data Scientist, with demonstrated ownership of production systems Strong foundation in statistics and the ability to apply quantitative methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning ...

complexity through structured onboarding and role-specific training during the first 90 days. Required Knowledge And Experiences Bachelor's degree in Business, Marketing, Economics, Statistics, Computer Science or a related analytical/technical field, or equivalent experience. Track record years' experience in marketing, data, STEM or a related quantitative discipline ...

development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business‐critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production‐quality, maintainable code. Experience with modern data science tooling, including: Version control ...

MLOps, rigorous A/B testing, data privacy, and code quality. Skills & Experience: Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven ...

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 ...

modelling are used across the audit lifecycle. Essential Requirements: Degree (Bachelor’s, Master’s or PhD) in a quantitative field (e.g. mathematics, physics, statistics, computer science, finance or engineering), or equivalent experience. 2-5 years of experience in analytics or modelling within financial services. Strong attention to detail with experience ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

adapting communication styles as needed. Required Skills & Qualifications: Degree or postgraduate qualification in a relevant field (e.g., Computer Science, Mathematics, Data Science, Social Science, Statistics) or equivalent experience. Strong knowledge in various data and insight disciplines such as business intelligence, data analytics, data visualization, and qualitative research. Proven experience ...

analysis of vital theoretical values What you bring to the team... Currently pursuing a bachelor’s, master’s, or PhD in mathematics, economics, physics, statistics, computer science, or an engineering‐related field with an expected graduation date between December 2027 and August 2028 Advanced quantitative, analytical, and problem‐solving skills ...