151 to 175 of 2,334 Statistics Jobs in England

and be capable of working both independently and with others as a team. Key job responsibilities We are looking for an experienced data scientist with strong foundations in mathematics, statistics & machine learning with exceptional communication and leadership skills, and a proven track record of delivery. In this role, You will Define a long-term science vision and roadmap for the More ❯

with the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist : Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Masters degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps. More ❯

and non-technical audiences. Conduct experimental design, hypothesis testing, and causal inference analysis. Contribute to the continuous improvement of data science methodologies and best practices. Requirements PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Strong proficiency in R and Python for data analysis and modeling. Solid understanding of statistical methods, machine learning techniques, and data-driven problem More ❯

Beinga topic expert on Machine Learning and AI for your project team, enablingstrong project planning and team performance Your profile: Degreein a quantitative field, such as computer science, engineering,statistics, operational research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in More ❯

collaboratively. Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience. Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus). In a changing world, diversity and inclusion are core values for team well-being and performance. At More ❯

management, multitasking and prioritisation skills Excellent verbal and written communication skills Optional Requirements: It will also be advantageous if you have: Bachelor's degree in Data Analysis, Data Science, Statistics, Mathematics, Finance or Business Intelligence, or equivalent experience. ADDITIONAL NOTES: *** Data Privacy Please note that by applying for this opportunity, you are agreeing to our data privacy policy, and understand More ❯

proactive approach to identifying improvement opportunities Ability to work effectively with guidance from senior data science team members Skills and Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline) 3-6+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry Knowledge of underwriting, pricing, reserving 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 ❯

positive, high-performance team cultures Demonstrated success in setting clear strategic goals and delivering results Qualifications What You'll Need Degree educated in a relevant field (e.g., Computer Science, Statistics, Engineering, Mathematics) A proven track record in senior data science or AI leadership roles Excellent communication and stakeholder management skills Experience working in large, data-rich organisations (preferably within technology More ❯

team structures, collaborating with contractors and external partners. Qualifications: A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist. Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation. Why Join Us? This is more than just More ❯

support the wider team and Data Science community to foster innovation based on your work. Essential Qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or related quantitative field. Hands-on (academic or commercial) experience in implementing Reinforcement Learning or related disciplines. Completing a module or thesis on RL during a degree is not considered 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 ❯

of the industry's top apprenticeship providers, we can provide training and development at each level of your career. Qualifications Degree level qualification in a relevant subject e.g. mathematics, statistics, computer science, etc. Best Practice knowledge and experience of Data Science standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling More ❯

a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. 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 passion for connecting your work 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

our Product teams. Identify , prioritize, and drive operational improvements. What We're Looking For Relevant Bachelor's or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ 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 ❯

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 ❯