201 to 225 of 2,599 Statistics Jobs in the UK

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A/B tests. • Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master’s degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

years in Data Analyst position or otherwise in projects involving big data -preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate More ❯

platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including More ❯

enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for More ❯

scale teams. Strong business acumen with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master’s, PhD) are a plus. What We Offer Be part of a multicultural team that is bringing advertising to the next More ❯

organisation on process improvement best practices to ensure proper implementation and sustainability What Skills & Experience You Should Bring: Bachelor's degree in a relevant field such as Business Administration, Statistics, Computer Science, or a related discipline Proven work experience as a Data Analyst, Business Analyst, or similar role, with a focus on data analysis and stakeholder management Prior experience in More ❯

as support on larger projects in the pipeline Who are we looking for? Knowledge or previous experience within the gaming industry Understanding of payments Degree in quantitative area (Mathematics, Statistics, Engineering, Computer Science, Economics) or relevant industry experience Practical experience with large datasets and analysis tools of your preference (Python, R, SQL, MicroStrategy, Looker or equivalent) (essential) Experience in applying More ❯

scale teams. Strong business acumen with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master’s, PhD) are a plus. What We Offer Be part of a multicultural team that is bringing advertising to the next More ❯

mentor junior data scientists & apprentices Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience with developing machine learning models and creating software pipelines More ❯

their work from start to finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor's or Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such More ❯

teams. Stay current with industry trends, especially in travel, hospitality, or marketplace dynamics. Experience and Qualifications: Bachelor's or Master's in a technical or quantitative field (e.g., Engineering, Statistics, Business Analytics, Mathematics, Computer Science, or similar). Strong SQL skills are essential - you should be comfortable writing complex queries and working with large-scale data. Familiar with Tableau (or More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

Optimistically by Championing Growth and Development to Mobilize the Enterprise. We are looking for a candidate who can display the following attributes: Master’s degree or higher in Mathematics, Statistics, Physics, Economics, Computer Science, or a related field; or equivalent through experience At least 3 years of experience as a data scientist Excellent analytical skills and strong statistical knowledge, as More ❯

thinking to finding great solutions 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 benefits package which includes More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

support the wider team and Data Science community to drive innovations based on your work Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on experience in optimisation algorithms (or a related displicine). Please note: Wihlst we’d consider candidates with relevant academic background, we’d prefer More ❯

years in Data Analyst position or otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate More ❯

years in Data Analyst position or otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate More ❯

years in Data Analyst position or otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate More ❯