176 to 200 of 1,046 Statistics Jobs in the UK

improve efficiency and accuracy, and track performance Who you are Bachelor's degree in a relevant field such as Data Science, Mathematics, Computer Science, Statistics, or a related discipline 3-5 years of professional experience in data analytics, ideally with gaming or consumer-facing product experience Strong SQL skills and More ❯

you'll bring: Experience of working in a statistical/data science role. MSc or BSc degree from a quantitative field such as Engineering, Statistics, Mathematics, Computer Science, or Finance. Strong problem-solving skills. Proficiency in Python plus knowledge of querying databases. Excellent stakeholder engagement skills plus the ability to More ❯

Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL More ❯

This is a fixed-term contract for 24 months, ending 30 September 2027. Skills and Attributes for Success Degree in mathematics, data science, AI, statistics, biomedical or biological sciences. Experience in data science roles, managing and analyzing data, and developing ML tools. Leadership experience in managing research projects and teams. More ❯

to think and operate at all levels (both strategically and tactically) - A Bachelors Degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) - Knowledge of SQL is mandatory PREFERRED QUALIFICATIONS - Expert in SQL/Redshift is preferred - Ability to progress autonomously in ambiguous environment Amazon is More ❯

our client leadership teams to answer client questions and build solutions that are re-usable and scalable. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and 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 ❯

media systems management and bidding optimization, process improvements, and automation to enhance performance. What We Seek Bachelor's degree in Business/Maths/Statistics or a related quantitative field. 2+ years experience working in a data analytics position, preferably in a digital marketing environment. Ability to turn complex data More ❯

media systems management and bidding optimization, process improvements, and automation to enhance performance. What We Seek Bachelor's degree in Business/Maths/Statistics or a related quantitative field. 2+ years experience working in a data analytics position, preferably in a digital marketing environment. Ability to turn complex data More ❯

is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this More ❯

funding ends 30 th September 2027). Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. More ❯

for the accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable; Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us; We've combined groundbreaking More ❯

for the accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us We've combined groundbreaking More ❯

prioritization. Maintain internal/external relationships with the wider Marketing organization and Partners on strategic initiatives. Experience and Qualifications: Undergraduate degree in Mathematics, Science, Statistics, Analytics, Engineering, or any related technical field. Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends and make More ❯

for the accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable; Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us; We’ve combined groundbreaking More ❯

for the accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable; Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us; We’ve combined groundbreaking More ❯

Analytics, a data-based consulting role, or other data strategy type positions). Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), Master's Degree a plus. Tools: You will have knowledge of key industry tools, SQL, Tableau, and Excel. Specifically for this role that would More ❯

and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What’s In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive 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 work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients 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 work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

for help where necessary iM Qualified Because I Have A Master's or Ph.D. degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure More ❯

planning. Create data visualization dashboards, handle ad-hoc data requests, and independently complete analytical reports. Requirements Bachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Information Management, or related fields. Proficient in English for professional communication; experience in internet-based international business is a plus. Familiar with data More ❯

Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯

Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯

Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯