176 to 200 of 306 Statistics Jobs in the UK

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning More ❯

or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Excellent communication skills, able to engage technical and non-technical stakeholders. The Package £50,000 - £90,000 depending on experience Pension & medical care More ❯

or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Ability to lead projects, scope work, and deliver solutions at pace (for Senior) Excellent communication skills, able to engage technical and non-technical More ❯

Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at More ❯

Experience as a product manager or owner Master's degree or equivalent Experience owning/driving roadmap strategy and definition Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience in working with operations and/or machine learning related products PREFERRED QUALIFICATIONS Experience working across functional teams and senior stakeholders Knowledge of supply chain and More ❯

Recent, or soon to be graduate, with relevant course work, internship, or other applicable experience or knowledge ? Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, Finance ? Strong communication skills with the ability to collaborate with teammates globally ? Strong sense of urgency with the ability to work well More ❯

models built in PyTorch, TensorFlow, or Scikit-learn. Hands-on cloud experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes, with practical containerisation experience. Understanding of probability, statistics, and ML techniques. Strong communication skills, able to engage with technical and non-technical stakeholders. Experience mentoring or leading junior engineers is an advantage. Travel & Location Open to applicants from More ❯

for Active SC Clearance Strong software engineering background with proficiency in Python. Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the More ❯

one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in More ❯

one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in More ❯

one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in More ❯

similar event-based platforms. Data structures and design/analysis of algorithms. Analysis of concurrency and parallelism for speed/space performance tradeoffs. Bonus Experience Exchange traded financial instruments. Statistics, discrete mathematics, linear algebra. Problem-solving and proof construction. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at More ❯

similar event-based platforms. Data structures and design/analysis of algorithms. Analysis of concurrency and parallelism for speed/space performance tradeoffs. Bonus Experience Exchange traded financial instruments. Statistics, discrete mathematics, linear algebra. Problem-solving and proof construction. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at More ❯

the ability to draw conclusions based on data Fundamental knowledge of ad targeting methodologies Good understanding of ad networks, ad exchanges, DSPs and/or auction marketplaces Experience with statistics and related analysis methodologies Ability to investigate, analyze & solve problems, and clearly communicate results MS Office fluency, including Excel pivot tables & chart making. Experience with MS Access, VBA/Excel More ❯

writing. Experience Essential Strong knowledge and experience with reporting packages & BI tools in particular Power BI. Also (Business objects, Tableau), databases (SQL etc.), programming (XML, Javascript). Knowledge of statistics and experience in using statistical packages for analysing datasets (Excel, SPSS, SAS etc.). Strong analytical skills and the ability to develop solutions through logical reasoning, collect, organise, analyse and More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. … for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development More ❯

continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. … for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development More ❯

an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary More ❯

Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

divided into her four ranks: Assistant Professor, Associate Professor, Full Professor and Senior Professor. Areas of study include, but are not limited to: Natural Sciences: Theoretical and Applied Mathematics, Statistics and Data Sciences, Physics, Chemistry and Life Sciences. Engineering sciences: mechanics and aerospace technology, robotics, mechanical engineering, new materials, chemical and energy technology, biomedical technology, construction and environmental technology, oceanography. More ❯

months experience in BI/Data reporting role Experienced in using Cognos (desirable yet not essential) or similar BI tool Highly proficient in Microsoft Excel Degree in Mathematics/Statistics/Data engineering/Systems or another numerical related subject Ability to work in a changing and flexible organisation High attention to detail Organised and efficient UK Driving Licence For More ❯